1 January 2003

Nano, M and International Centre for Eye Health (2003). Rapid Assessment of Avoidable Blindness Dataset: Argentina, Buenos Aires (urban) (2003). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000048.

1 January 2004

Arieta, C (2004). Rapid Assessment of Avoidable Blindness Dataset: Brazil, Sao Paulo, Campinas (2004). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000055.

Beltranena, F (2004). Rapid Assessment of Avoidable Blindness Dataset: Guatemala, Southwest (2004). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000051.

1 January 2005

Wadud, Z (2005). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Khulna, Satkhira (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000057.

Mathenge, W (2005). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Rift Valley, Nakuru (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000063.

A. Gomez Bastar, P (2005). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Nuevo Leon (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000064.

Eusebio, T (2005). Rapid Assessment of Avoidable Blindness Dataset: Philippines, Western Visayas, Negros (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000067.

18 January 2005

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer Survival: England 1998-2003. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20070610223546/http://www.statistics.gov.uk/STATBASE/ssdataset.asp?vlnk=8982

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer Survival: England and Wales, 1991-2001, four major cancers. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070312224943/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=7091

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer Survival: England and Wales, 1991-2001, less common cancers by age group. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20070505052934/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=8904

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival in the strategic health authorities of England, 1995-2002. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070715075347/http://www.statistics.gov.uk/statbase/Product.asp?vlnk=11991

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: England and Wales, 1991-2001, twenty major cancers. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070505052816/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=7898

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: England and Wales, 1991-2001, twenty major cancers by age group. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20090629232158/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=7899

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 1999. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20060221012923/http://www.statistics.gov.uk/StatBase/ssdataset.asp?vlnk=4878&More=Y

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 1999 - four further cancer sites. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20060221012955/http://www.statistics.gov.uk/StatBase/ssdataset.asp?vlnk=5388&More=Y

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 2000. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20060221013017/http://www.statistics.gov.uk/StatBase/ssdataset.asp?vlnk=5389&More=Y

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 2000 - four further cancer sites. [Data Collection]. Office for National Statistics, London, United Kingdom. http://web.archive.org/web/20060222052104/http://www.statistics.gov.uk/STATBASE/ssdataset.asp?vlnk=5392&More=Y

Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Survival rates in England by Strategic Health Authority up to 2001. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070109133352/http://www.statistics.gov.uk/downloads/theme_health/SurvivalRatesbySHA2001Data.xls

10 October 2005

Rachet, B, Coleman, MP, Cooper, N, Quinn, M and Wood, H (2005). Long-term Breast Cancer Survival, England and Wales, up to 2003. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070111035057/http://www.statistics.gov.uk/STATBASE/ssdataset.asp?vlnk=9132&More=Y

2006

Rachet, B, Coleman, MP, Cooper, N and Quaresma, M (2006). Cancer survival in the Strategic Health Authorities of England, 1996-2003. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20101113201310/http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=11991

Rachet, B, Coleman, MP, Cooper, N and Elgohari, S (2006). Cancer survival in the Strategic Health Authorities of England, 1997-2004. [Data Collection]. Office for National Statistics. http://www.ons.gov.uk/ons/dcp19975_154103.xml

1 January 2006

Barria-Von Bisschoffshausen, F (2006). Rapid Assessment of Avoidable Blindness Dataset: Chile, Bio Bio (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000070.

Wu, M (2006). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Kunming (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000071.

Eusebio, T (2006). Rapid Assessment of Avoidable Blindness Dataset: Philippines, Western Visayas, Antique (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000076.

Mathenge, W (2006). Rapid Assessment of Avoidable Blindness Dataset: Rwanda, South-west (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000077.

1 January 2007

Seiha, D (2007). Rapid Assessment of Avoidable Blindness Dataset: Cambodia (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000078.

Xiao, B (2007). Rapid Assessment of Avoidable Blindness Dataset: China, Jiangxi, Gao'an (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000079.

Xiao, B (2007). Rapid Assessment of Avoidable Blindness Dataset: China, Jiangxi, Wanzai (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000080.

Xiao, B (2007). Rapid Assessment of Avoidable Blindness Dataset: China, Jiangxi, Xingan (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000081.

Karimurio, J (2007). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Eastern, Embu (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000083.

Mathenge, W (2007). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Rift Valley, Kericho (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000084.

Khamphoua, S (2007). Rapid Assessment of Avoidable Blindness Dataset: Laos (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000085.

4 April 2007

Rachet, B, Westlake, S, Cooper, N, Shah, A, Quinn, M and Coleman, MP (2007). Cancer survival in the 'Spearhead' Primary Care Trusts of England, 1996-2003. [Data Collection]. The National Archives UK. https://data.gov.uk/dataset/cancer_survival_in_the_spearhead_primary_care_trusts_of_england

1 January 2008

Wu, M (2008). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Luliang (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000107.

Carlos Batlle, J (2008). Rapid Assessment of Avoidable Blindness Dataset: Dominican Republic (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000108.

Jain, E (2008). Rapid Assessment of Avoidable Blindness Dataset: India, Uttar Pradesh, Chitrakoot (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000110.

Oye, J (2008). Rapid Assessment of Avoidable Blindness Dataset: Mali, Koulikoro (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000111.

Gurung, R (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Bagmati (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000112.

Gurung, R (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Janakpur (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000113.

Sapkota, Y (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Karnali (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000114.

Sapkota, Y (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Seti and Mahakali (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000115.

Sargent, N (2008). Rapid Assessment of Avoidable Blindness Dataset: Palestine (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000116.

1 January 2009

Tshering Lepcha, N (2009). Rapid Assessment of Avoidable Blindness Dataset: Bhutan (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000118.

Chiriboga, F (2009). Rapid Assessment of Avoidable Blindness Dataset: Ecuador (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000119.

Rajavi, Z (2009). Rapid Assessment of Avoidable Blindness Dataset: Iran, Tehran, Varamin (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000126.

Sapkota, Y (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Bheri (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000127.

Singh, S (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Koshi (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000128.

Sapkota, Y (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Mechi (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000129.

Sapkota, Y (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Sagarmatha (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000130.

Kaid Al-Khatib, T (2009). Rapid Assessment of Avoidable Blindness Dataset: Yemen, Amran (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000134.

1 January 2010

Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Gazipur (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000140.

Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Jamalpur (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000141.

Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Kishoreganj (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000142.

Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Khulna, Narail (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000143.

Kandeke, L (2010). Rapid Assessment of Avoidable Blindness Dataset: Burundi, Ngozi and Kayanza (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000144.

Zhang, X (2010). Rapid Assessment of Avoidable Blindness Dataset: China, Hainan (rural) (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000145.

Xiao, B (2010). Rapid Assessment of Avoidable Blindness Dataset: China, Inner Mongolia, Shangdu (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000146.

Xiao, B (2010). Rapid Assessment of Avoidable Blindness Dataset: China, Inner Mongolia, Tuoketuo (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000147.

Oye, J (2010). Rapid Assessment of Avoidable Blindness Dataset: Guinea Bissau (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000149.

Kalua, K (2010). Rapid Assessment of Avoidable Blindness Dataset: Malawi, South-western health zone (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000151.

Polack, S (2010). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Chiapas, Central, Highland and Frailesca (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000152.

Sapkota, Y (2010). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Dhaulagiri (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000154.

Sapkota, Y (2010). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Rapti (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000155.

Oye, J (2010). Rapid Assessment of Avoidable Blindness Dataset: Senegal, Fatick (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000156.

Oye, J (2010). Rapid Assessment of Avoidable Blindness Dataset: Senegal, Kaolack (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000157.

Finger, R (2010). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Son La (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000168.

1 January 2011

Muhit, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Tangail (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000169.

Muhit, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Khulna, Kushtia (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000170.

Oye, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Burkina Faso, West Central (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000172.

Wang, T (2011). Rapid Assessment of Avoidable Blindness Dataset: China, Sichuan, Dechang (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000173.

Wang, T (2011). Rapid Assessment of Avoidable Blindness Dataset: China, Sichuan, Mianning (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000174.

Violeta Velasquez, A (2011). Rapid Assessment of Avoidable Blindness Dataset: El Salvador (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000175.

Wachira, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Coast, Kwale (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000178.

Oye, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Mali, Koulikoro (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000180.

Chagunda, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Nampula (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000181.

Duerksen, R (2011). Rapid Assessment of Avoidable Blindness Dataset: Paraguay (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000182.

Gonzales, C (2011). Rapid Assessment of Avoidable Blindness Dataset: Peru (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000183.

Hajar, S (2011). Rapid Assessment of Avoidable Blindness Dataset: Saudi Arabia, Makkah, Al Taif (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000185.

Oye, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Sierra Leone (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000186.

Musana, P (2011). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Western, Ntungamo (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000188.

Gallarreta, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Uruguay (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000189.

Finger, R (2011). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Thanh Hoa (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000190.

1 January 2012

Moerchen, M (2012). Rapid Assessment of Avoidable Blindness Dataset: Cambodia, Takeo (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000194.

Zhang, X (2012). Rapid Assessment of Avoidable Blindness Dataset: China, Guangdong, Chaonan (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000195.

Xiao, B (2012). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Jianchuan (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000197.

Xiao, B (2012). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Lancang (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000198.

Rabiu, M (2012). Rapid Assessment of Avoidable Blindness Dataset: Jordan, Irbid (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000201.

Kerkula, J (2012). Rapid Assessment of Avoidable Blindness Dataset: Liberia (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000202.

Paduca, A (2012). Rapid Assessment of Avoidable Blindness Dataset: Moldova (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000203.

Chagunda, M (2012). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Sofala (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000204.

Musana, P (2012). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Central, Mubende (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000206.

Finger, R (2012). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Nghe An (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000207.

Finger, R (2012). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Quang Nam (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000208.

29 June 2012

Deitz, KC, Athrey, G, Reddy, MR, Overgaard, HJ, Matias, A, Jawara, M, della Torre, A, Petrarca, V, Pinto, J, Kiszewski, AE, Kengne, P, Costantini, C, Caccone, A, Slotman, MA, Jawara, M and Athrey, G (2012). Data from: Genetic isolation within the malaria mosquito Anopheles melas. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.d15d4

2013

Jaramillo, JF, Olano, VA, Vargas, S, Sarmiento-Senior, D, Overgaard, HJ and Alexander, N (2013). Escuelas saludables: reduciendo las enfermedades de diarrea y dengue en las escuelas rurales de Anapoima y La Mesa, Cundinamarca. [Data Collection]. Universidad El Bosque, Bogotá, Colombia. http://hdl.handle.net/20.500.12495/9389

1 January 2013

Barrenechea, R (2013). Rapid Assessment of Avoidable Blindness Dataset: Argentina (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000210.

Muhit, M (2013). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Barisal, Barisal (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000211.

Alvarado, D (2013). Rapid Assessment of Avoidable Blindness Dataset: Honduras (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000212.

Ashraf, A (2013). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, South Sulawesi (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000213.

Davaatseren, U (2013). Rapid Assessment of Avoidable Blindness Dataset: Mongolia (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000215.

Brea, I (2013). Rapid Assessment of Avoidable Blindness Dataset: Panama (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000216.

Pawiroredjo, J (2013). Rapid Assessment of Avoidable Blindness Dataset: Suriname (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000217.

Kikira, S (2013). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Western, Hoima (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000219.

15 January 2013

Wurie, F, Le Polain de Waroux, OL, Brande, M, DeHaan, W, Holdgate, K, Mannan, R, Milton, D, Swerdlow, D and Hayward, A (2013). Exhaled particle production data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.106632.v1

11 February 2013

Newton, CR, Ngugi, AK, Bottomley, C, Kleinschmidt, I, Wagner, RG, Kakooza-Mwesige, A, Ae-Ngibise, K, Owusu-Agyei, S, Masanja, H, Kamuyu, G, Odhiambo, R, Chengo, E and Sander, JW (2013). Epidemiology and Treatment of Epilepsy in sub-Saharan Africa. [Data Collection]. INDEPTH Network. https://doi.org/10.7796/INDEPTH.GH002.SEEDS.v1

15 May 2013

Schneider, P, Bousema, T, Gouagna, LC, Otieno, S, van de Vegte-Bolmer, M, Omar, SA and Sauerwein, RW (2013). Data from: Submicroscopic Plasmodium falciparum gametocyte densities frequently result in mosquito infection. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.589ft

19 August 2013

Churcher, TS, Bousema, T, Walker, M, Drakeley, C, Schneider, P, Ouédraogo, AL and Basáñez, M (2013). Data from: Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.0k402

29 November 2013

Brady, OJ (2013). Model of adult Aedes aegypti survival/mortality at different temperatures. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.865034.v1

Brady, OJ (2013). Model of adult Aedes albopictus survival/mortality at different temperatures. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.865035.v1

2014

Rural AIDS & Development Action Research Programme, University of the Witwatersrand, London School of Hygiene and Tropical Medicine and Small Enterprise Foundation (2014). Intervention with Microfinance for AIDS and Gender Equity 2001-2003. [Data Collection]. DataFirst. https://doi.org/10.25828/yebs-j953

1 January 2014

Paez, A (2014). Rapid Assessment of Avoidable Blindness Dataset: Bolivia (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000220.

Musana, P (2014). Rapid Assessment of Avoidable Blindness Dataset: Botswana (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000221.

Zhang, G (2014). Rapid Assessment of Avoidable Blindness Dataset: China, Inner Mongolia, Hohhot (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000223.

Mansur, S (2014). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, West Java (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000226.

Farzad Mohammadi, S (2014). Rapid Assessment of Avoidable Blindness Dataset: Iran, Kurdistan (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000228.

Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Johor and Melaka (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000229.

Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Kelantan, Terengganu and Pahang (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000230.

Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Kuala Lumpur, Putrajaya, Selangor and Negeri Sembilan, (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000231.

Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Perlis, Kedah, Penang and Perak (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000232.

Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Sabah and Labuan (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000233.

Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Sarawak (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000234.

Bastar, PAG (2014). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Nuevo Leon (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000235.

Sossinou, A (2014). Rapid Assessment of Avoidable Blindness Dataset: Togo (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000238.

28 March 2014

Ramagopalan, SV, Skingsley, A, Handunnetthi, L, Magnus, D, Pakpoor, J and Goldacre, B (2014). Data set of primary outcome changes in interventional clinical trials registered on ClinicalTrials.org. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.967827.v1

30 April 2014

Overgaard, H, Moore, S, Lorenz, L and Kisinza, W (2014). The useful life of bednets for malaria control in Tanzania: Attrition, Bioefficacy, Chemistry, Durability and insecticide Resistance - Household survey 2013, Retrospective household survey. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2013.06.99

24 May 2014

Borghi, J, Mamdani, M, Abdulla, S, Mayumana, I, Mashasi, I, Binyaruka, P, Patouillard, E, Njau, I and Maestad, O (2014). Evaluation of a pay for performance programme in Pwani region in Tanzania: A controlled before and after study, IMPACT. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2012.12.99

25 May 2014

Borghi, J, Mamdani, M, Abdulla, S, Mayumana, I, Mashasi, I, Binyaruka, P, Patouillard, E, Njau, I and Maestad, O (2014). Evaluation of a pay for performance programme in Pwani region in Tanzania: A controlled before and after study, PROCESS. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2012.01.99

21 July 2014

Caputo, B, Nwakanma, D, Caputo, FP, Jawara, M, Oriero, C, Adiamoh, M, Dia, I, Konate, L, Petrarca, V, Pinto, J, Conway, DJ, della Torre, A, Oriero, EC and Hamid-Adiamoh, M (2014). Data from: Prominent intra-specific genetic divergence within Anopheles gambiae sibling species triggered by habitat discontinuities across a riverine landscape. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.601fk

2015

Binyaruka, P, Patouillard, E, Powell-Jackson, T, Greco, G, Maestad, O and Borghi, J (2015). Effect of paying for performance on utilisation, quality, and user costs of health services in Tanzania: a controlled before and after study. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/IHI.2013.02.99

1 January 2015

Xiao, B (2015). Rapid Assessment of Avoidable Blindness Dataset: China, Xinjiang, Altay and Tacheng (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000240.

Ukety, T (2015). Rapid Assessment of Avoidable Blindness Dataset: Democratic Republic of Congo, Ituri, Aru and Mahagi (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000242.

Yee, M (2015). Rapid Assessment of Avoidable Blindness Dataset: Guatemala (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000243.

Nemeth, J (2015). Rapid Assessment of Avoidable Blindness Dataset: Hungary (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000244.

Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Bali (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000249.

Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Central Java (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000250.

Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, East Java (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000251.

Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Jakarta (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000252.

Harimanitra Andriamanjato, H (2015). Rapid Assessment of Avoidable Blindness Dataset: Madagascar, Analamanga (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000253.

Lansingh, VC (2015). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Queretaro (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000254.

Kandel, R (2015). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Narayani (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000256.

Khan, M (2015). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, FATA, Peshawar (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000257.

Mathenge, W (2015). Rapid Assessment of Avoidable Blindness Dataset: Rwanda (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000258.

Kikira, S (2015). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Northern, Karamoja (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000259.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Bac Ninh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000260.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Binh Duong (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000261.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Ca Mau (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000262.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Dien Bien (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000263.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Gia Lai (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000264.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Ha Tinh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000265.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Lam Dong (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000266.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Nam Dinh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000267.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Phu Tho (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000268.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Quang Ngai (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000269.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Quang Tri (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000270.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Tien Giang (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000271.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Tuyen Quang (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000272.

Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Vung Tau (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000273.

10 February 2015

Camacho, A, Kucharski, AJ, Aki-Sawyerr, Y, White, MA, Flasche, S, Baguelin, M, Pollington, TM, Carney, J, Glover, R, Smout, E, Tiffany, A, Edmunds, WJ and Funk, S (2015). Bed capacity for Ebola patients in Sierra Leone. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1304889.v1

1 April 2015

Meyer-Rath, G, Pienaar, J, Brink, B, Van Zyl, A, Muirhead, D, Grant, AD, Churchyard, GJ, Watts, C and Vickerman, P (2015). The impact of company-level ART provision to a mining workforce in South Africa: a cost–benefit analysis. [Data Collection]. Boston University Libraries. https://hdl.handle.net/2144/10817

1 May 2015

Hanifa, Y, Telisinghe, L, Fielding, KL, Malden, JL, Churchyard, GJ, Grant, AD and Charalambous, S (2015). The diagnostic accuracy of urine lipoarabinomannan test for tuberculosis screening in a South African correctional facility. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1399199.v1

27 June 2015

Pigott, DM, Bhatt, S, Golding, N, Duda, KA, Battle, KE, Brady, OJ, Messina, JP, Balard, Y, Bastien, P, Pratlong, F, Brownstein, JS, Freifeld, CC, Mekaru, SR, Gething, PW, George, DB, Myers, MF and Hay, SI (2015). Data from: Global distribution maps of the Leishmaniases. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.05f5h

21 July 2015

Cornick, JE, Chaguza, C, Harris, SR, Yalcin, F, Senghore, M, Kiran, AM, Govindpershad, S, Ousmane, S, Plessis, MD, Pluschke, G, Ebruke, C, McGee, L, Sigaùque, B, Collard, J, Antonio, M, von Gottberg, A, French, N, Klugman, KP, Heyderman, RS, Bentley, SD and Everett, DB (2015). Region specific diversification of the highly virulent serotype 1 Streptococcus pneumoniae. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1472901.v1

14 August 2015

Reuter, S, Corander, J, de Been, M, Harris, S, Cheng, L, Hall, M, Thomson, NR and McNally, A (2015). Directional gene flow and ecological separation in Yersinia enterocolitica. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1482060.v1

18 August 2015

Owusu, R, Asante, KP, Mahama, E, Awini, E, Anyorigiya, T, Dosoo, D, Amu, A, Jakpa, G, Ofei, E, Segbaya, S, Oduro, AR, Gyapong, M, Hodgson, A, Bart-Plange, C and Owusu-Agyei, S (2015). Glucose-6-Phosphate Dehydrogenase Deficiency and haemoglobin drop after Sulphadoxine-Pyrimethamine use for Intermittent Preventive Treatment of Malaria during pregnancy in Ghana - a cohort study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1512815.v1

11 November 2015

Siraj, AS, Bouma, MJ, Santos-Vega, M, Yeshiwondim, AK, Rothman, DS, Yadeta, D, Sutton, PC and Pascual, M (2015). Data from: Temperature and population density determine reservoir regions of spatial persistence in highland malaria. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.kc20m

24 November 2015

Chung The, H, Rabaa, MA, Pham Thanh, D, Ruekit, S, Wangchuk, S, Dorji, T, Pem Tshering, K, Nguyen Thi Nguyen, T, Voong Vinh, P, Ha Thanh, T, Nguyen Ngoc Minh, C, Turner, P, Sar, P, Thwaites, G, Holt, KE, Thomson, NR, Bodhidatta, L, Mason, CJ and Baker, S (2015). The introduction and establishment of fluoroquinolone resistant Shigella sonnei into Bhutan. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1610693.v1

25 November 2015

Landay, A, Reither, K, Katsoulis, L, Beattie, T, Gardiner, N, Lenz, N, Said, K, Mfinanga, E, Pohl, C, Fielding, KL, Jeffery, H, Kagina, BM, Hughes, EJ, Scriba, TJ, Hanekom, WA, Hoff, ST, Bang, P, Kromann, I, Daubenberger, C, Andersen, P and Churchyard, GJ (2015). Data from: Safety and immunogenicity of H1/IC31®, an adjuvanted TB subunit vaccine, in HIV-infected adults with CD4+ Lymphocyte counts greater than 350 cells/mm3: a phase II, multi-centre, double-blind, randomized, placebo-controlled trial. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.r61r8

2016

Hanson, C, Waiswa, P, Marchant, T, Marx, M, Manzi, F, Mbaruku, G, Rowe, A, Tomson, G, Schellenberg, J and Peterson, S (2016). Expanded Quality Management Using Information Power for Maternal and Newborn Health in Africa (EQUIP). [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2014.04.99

1 January 2016

Oye, J (2016). Rapid Assessment of Avoidable Blindness Dataset: Cameroon, Centre, Yaounde (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000274.

Rodriguez Rodriguez, B (2016). Rapid Assessment of Avoidable Blindness Dataset: Cuba (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000276.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Maluku (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000291.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, North Sulawesi (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000292.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, North Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000293.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Nusa Tenggara Timur (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000294.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, South Kalimantan (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000295.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, South Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000296.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, West Papua (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000297.

Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, West Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000298.

Thoufeeq, U (2016). Rapid Assessment of Avoidable Blindness Dataset: Maldives (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000299.

Vilanculos, A (2016). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Inhambane (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000300.

Muhammad, N (2016). Rapid Assessment of Avoidable Blindness Dataset: Nigeria, Sokoto, Wurno (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000301.

Jadoon, MZ (2016). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, Khyber Pakhtunkhwa, Mansehra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000302.

Jadoon, MZ (2016). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, Khyber Pakhtunkhwa, Swabi (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000303.

Kabona, G (2016). Rapid Assessment of Avoidable Blindness Dataset: Tanzania, Morogoro (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000304.

Correia, M (2016). Rapid Assessment of Avoidable Blindness Dataset: Timor-Leste (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000305.

12 January 2016

Holt, KE (2016). Acinetobacter baumannii GC1 recombination analysis. [Data Collection]. University of Melbourne. https://doi.org/10.4225/49/5690B341A0FDB

29 February 2016

Mbonye, AK, Buregyeya, E, Rutebemberwa, E, Clarke, S, Lal, S, Hansen, KS, Magnussen, P and LaRussa, P (2016). Data from: Prescription of antibiotics at drug shops and strategies to improve quality of care and patient safety: a cross-sectional survey in the private sector in Uganda. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.9c87t

1 March 2016

de Witt Huberts, JC (2016). BCD Formative Research for PrEP Demand Creation. [Data Collection]. Data Archiving and Networked Services (DANS). https://doi.org/10.17026/dans-xpq-v3y2

8 March 2016

Campbell, O, Cegolon, L, Macleod, D and Benova, L (2016). Length of Stay After Childbirth in 92 Countries and Associated Factors in 30 Low- and Middle-Income Countries: Compilation of Reported Data and a Cross-sectional Analysis from Nationally Representative Surveys. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1001972

15 March 2016

Shihab, HA, Gaunt, TR, Hemani, G, Relton, CL and Davey Smith, G (2016). ARIES mQTL results. [Data Collection]. University of Bristol, Bristol, United Kingdom. https://doi.org/10.5523/bris.r9bxayo5mmk510dczq6golkmb

8 April 2016

Nicholls, SG, Quach, P, von Elm, E, Guttmann, A, Moher, D, Petersen, I, Sørensen, HT, Smeeth, L, Langan, SM and Benchimol, EI (2016). Data from: The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement: methods for arriving at consensus and developing reporting guidelines. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.7d65n

11 May 2016

Wen, Q, Kim, C, Hamilton, PW and Zhang, S (2016). Additional file 1 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D4.v1

Wen, Q, Kim, C, Hamilton, P and Zhang, S (2016). Additional file 2 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D2.v1

Wen, Q, Kim, C, Hamilton, P and Zhang, S (2016). Additional file 3 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D3.v1

Wen, Q, Kim, C, Hamilton, P and Zhang, S (2016). Additional file 4 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D1.v1

13 May 2016

Jasseh, M, D'Alessandro, U and Dondeh, BL (2016). Farafenni INDEPTH Core Dataset 1982-2013 (Release 2016). [Data Collection]. INDEPTH Network. https://doi.org/10.7796/INDEPTH.GM011.CMD2013.v1

20 July 2016

Schallig, Henk D. F. H., Altaras, R, Nuwa, A, Agaba, B, Streat, E, Tibenderana, JK, Martin, S and Strachan, CE (2016). Data from: How do patients and health workers interact around malaria rapid diagnostic testing, and how are the tests experienced by patients in practice? A qualitative study in western Uganda. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.39np4

29 July 2016

Hanifa, Y (2016). Diagnostic accuracy of lateral flow urine LAM assay for TB screening of adults with advanced immunosuppression attending routine HIV care in South Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.2182729.v1

30 August 2016

Carr, T, Yang, H and Ray, C (2016). Data for: "Temporal Variations of Water Productivity in Irrigated Corn: An Analysis of Factors Influencing Yield and Water Use across Central Nebraska". [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0161944.s001

26 October 2016

Mansour, NR, Paveley, R, Gardner, JMF, Bell, AS, Parkinson, T and Bickle, Q (2016). High Throughput Screening Identifies Novel Lead Compounds with Activity against Larval, Juvenile and Adult Schistosoma mansoni. S2 Table. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0004659.s002

27 November 2016

Kliemann, BS, Levin, AS, Moura, ML, Boszczowski, I and Lewis, JJ (2016). Data from: Socioeconomic determinants of antibiotic consumption in the state of São Paulo, Brazil: the effect of restricting over-the-counter sales. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.mt685

16 December 2016

Modell, B, Darlison, MW, Moorthie, S, Blencowe, H, Petrou, M and Lawn, JE (2016). Epidemiological Methods in Community Genetics and the Modell Global Database of Congenital Disorders (MGDb). [Data Collection]. UCL Discovery. https://discovery.ucl.ac.uk/id/eprint/1532179

1 January 2017

Lepcha, NT (2017). Rapid Assessment of Avoidable Blindness Dataset: Bhutan (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000307.

Xiao, B (2017). Rapid Assessment of Avoidable Blindness Dataset: China, Sichuan, Garze (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000308.

Kulkarni, S (2017). Rapid Assessment of Avoidable Blindness Dataset: India, Maharashtra, Pune (urban) (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000314.

Mamutalieva, E (2017). Rapid Assessment of Avoidable Blindness Dataset: Kyrgyzstan, South-west (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000320.

Khamphoua, S (2017). Rapid Assessment of Avoidable Blindness Dataset: Laos (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000321.

Jadoon, MZ (2017). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, Punjab, Lahore City Katchi Abadis (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000333.

Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, Coastal (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000334.

Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, Highlands (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000335.

Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, Islands (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000336.

Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, National Capital District (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000337.

Kabona, G (2017). Rapid Assessment of Avoidable Blindness Dataset: Tanzania, Singida (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000338.

Mutati, G (2017). Rapid Assessment of Avoidable Blindness Dataset: Zambia, Muchinga (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000339.

7 April 2017

Omedo, I, Mogeni, P and Rockett, K (2017). Dataset 1: Genotyping results for 111 single nucleotide polymorphisms (SNPs) typed in 2486 Plasmodium falciparum samples collected from primary school children during a parasitological survey in western Kenya in 2009 and 2010. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.4806619.v1

Omedo, I, Mogeni, P and Rockett, K (2017). Dataset 2: Single nucleotide polymorphisms (SNPs) and distance differences between Plasmodium falciparum parasite pairs sampled during a parasitological survey of primary school children in western Kenya. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.4806631.v1

Xie, J, Chen, P, Zhang, J, Gao, Z, Neves, H, Zhang, S, Wen, Q, Chen, W, Kwok, HF and Lin, Y (2017). The prognostic significance of DAPK1 in bladder cancer. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0175290.s004

8 April 2017

Bousema, T, Stresman, G, Baidjoe, AY, Bradley, J, Knight, P, Stone, W, Osoti, V, Makori, E, Owaga, C, Odongo, W, China, P, Shagari, S, Doumbo, OK, Sauerwein, RW, Kariuki, S, Drakeley, C, Stevenson, J and Cox, J (2017). Data from: The impact of hotspot-targeted interventions on malaria transmission in Rachuonyo south district in the western Kenyan highlands: a cluster-randomized controlled trial. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.nr8d8

15 May 2017

Jasseh, M, D'Alessandro, U and Dondeh, BL (2017). The Gambia - Farafenni INDEPTH Core Dataset 1982-2014 (Release 2017). [Data Collection]. INDEPTH Network. https://doi.org/10.7796/INDEPTH.GM011.CMD2014.v1

19 May 2017

Kaindoa, EW, Matowo, NS, Ngowo, HS, Mkandawile, G, Mmbando, A, Finda, M and Okumu, FO (2017). Interventions that effectively target Anopheles funestus mosquitoes could significantly improve control of persistent malaria transmission in south–eastern Tanzania. Supplementary data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0177807.s001

July 2017

Assogba, BS, Milesi, P, Djogbénou, LS, Berthomieu, A, Makoundou, P, Baba-Moussa, LS, Fiston-Lavier, A, Belkir, K, Labbé, P, Weill, M and Belkhir, K (2017). Data from: The ace-1 locus is amplified in all resistant Anopheles gambiae mosquitoes: fitness consequences of homogeneous and heterogeneous duplications. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.4f7qg

20 September 2017

Senghore, M, Otu, J, Witney, A, Gehre, F, Doughty, EL, Kay, GL, Butcher, P, Salako, K, Kehinde, A, Onyejepu, N, Idigbe, E, Corrah, T, de Jong, B, Pallen, MJ and Antonio, M (2017). Whole-genome sequencing illuminates the evolution and spread of multidrug-resistant tuberculosis in Southwest Nigeria. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0184510.s001

7 November 2017

Mossong, J, Hens, N, Jit, M, Beutels, P, Auranen, K, Mikolajczyk, R, Massari, M, Salmaso, S, Tomba, GS, Wallinga, J, Heijne, J, Sadkowska-Todys, M, Rosinska, M and Edmunds, WJ (2017). POLYMOD social contact data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.1215899

1 January 2018

Vilanculos, A (2018). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Nampula (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000348.

Mishra, S (2018). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Lumbini Province (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000349.

Mikki, N (2018). Rapid Assessment of Avoidable Blindness Dataset: Palestine (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000353.

5 February 2018

Leung, K, Jit, M, Lau, EHY and Wu, JT (2018). Social contact data for Hong Kong. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.1165562

18 April 2018

Davies, NG and Gardner, A (2018). Data from: Monogamy promotes altruistic sterility in insect societies. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.gt8b5

30 April 2018

Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A (2018). Climate risk index for Italy. [Data Collection]. Zenodo. https://zenodo.org/records/5506630

2 May 2018

Jeffries, CL, Rogers, ME and Walker, T (2018). Establishment of a method for Lutzomyia longipalpis sand fly embryo microinjection: the first step towards potential novel control strategies for leishmaniasis. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/S7CZP

5 May 2018

Pillay, D, Koole, O and Wong, E (2018). Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018. [Data Collection]. Africa Health Research Institute. https://data.ahri.org/index.php/catalog/909/

11 May 2018

Ominde, MS and Scott, A (2018). Replication Data for: Reliability and validity of the World Health Organization reading standards for paediatric chest radiographs used in the field in an impact study of Pneumococcal Conjugate Vaccine in Kilifi, Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/WYAPHO

9 June 2018

Cusick, S, Jaramillo, E, Moody, E, Ssemata, AS, Bitwayi, D, Lund, T and Mupere, E (2018). Additional file 1: of Assessment of blood levels of heavy metals including lead and manganese in healthy children living in the Katanga settlement of Kampala, Uganda. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6465632.v1

9 July 2018

Morpeth, SC, Munywoki, PK, Hammitt, LL, Bett, A, Bottomley, C, Onyango, CO, Murdoch, DR, Nokes, DJ and Scott, A (2018). Replication Data for: Nasopharyngeal pneumococcal concentration among children in a longitudinal study of household respiratory virus transmission in Kilifi, Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/A0AXNN

24 July 2018

Arora, NK, Nair, MKC, Gulati, S, Deshmukh, V, Mohapatra, A, Mishra, D, Patel, V, Pandey, RM, Das, BC, Divan, G, Murthy, GVS, Sharma, TD, Sapra, S, Aneja, S, Juneja, M, Reddy, SK, Suman, P, Mukherjee, SB, Dasgupta, R, Tudu, P, Das, MK, Bhutani, VK, Durkin, MS, Pinto-Martin, J, Silberberg, DH, Sagar, R, Ahmed, F, Babu, N, Bavdekar, S, Chandra, V, Chaudhuri, Z, Dada, T, Dass, R, Gourie-Devi, M, Remadevi, S, Gupta, JC, Handa, KK, Kalra, V, Karande, S, Konanki, R, Kulkarni, M, Kumar, R, Maria, A, Masoodi, MA, Mehta, M, Mohanty, SK, Nair, H, Natarajan, P, Niswade, AK, Prasad, A, Rai, SK, Russell, PSS, Saxena, R, Sharma, S, Singh, AK, Singh, GB, Sumaraj, L, Suresh, S, Thakar, A, Parthasarathy, S, Vyas, B, Panigrahi, A, Saroch, MK, Shukla, R, Rao, KVR, Silveira, MP, Singh, S and Vajaratkar, V (2018). Neurodevelopmental disorders in children aged 2–9 years: Population-based burden estimates across five regions in India. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1002615.s009

25 July 2018

Shearer, FM, Moyes, CL, Pigott, DM, Brady, OJ, Marinho, F, Deshpande, A, Longbottom, J, Browne, AJ, Kraemer, MUG, O'reilly, KM, Hombach, J, Yactayo, S, de Araújo, VEM, da Nóbrega, AA, Mosser, JF, Stanaway, JD, Lim, SS, Hay, SI, Golding, N and Reiner, RC (2018). Data from: Global yellow fever vaccination coverage from 1970 to 2016: an adjusted retrospective analysis. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.5ps8j

17 October 2018

Kombe, IK, Munywoki, PK, Baguelin, M, Nokes, DJ and Medley, GF (2018). Replication dataset for: Model-based estimates of transmission of respiratory syncytial virus within households. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BPSZZS

19 November 2018

Brady, OJ (2018). Microcephaly and potential exposure data in Brazil 2015-2017. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7359197.v1

30 November 2018

ACTwatch Group (2018). ACTwatch Outlet Survey Files: Kenya 2010. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5016128

18 December 2018

Bastiaens, GJH, Tiono, AB, Okebe, J, Pett, HE, Coulibaly, SA, Gonçalves, BP, Affara, M, Ouédraogo, A, Bougouma, EC, Sanou, GS, Nébié, I, Bradley, J, Lanke, KHW, Niemi, M, Sirima, SB, d’Alessandro, U, Bousema, T and Drakeley, C (2018). Data from: Safety of single low-dose primaquine in glucose-6-phosphate dehydrogenase deficient falciparum-infected African males: two open-label, randomized, safety trials. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.230ps

2019

Karuga, RN, Mireku, M, Muturi, N, McCollum, R, Vallieres, F, Kumar, M, Taegtmeyer, M and Otiso, L (2019). Supportive supervision of close-to-community providers of health care: Findings from action research conducted in two counties in Kenya. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0216444

Mistry, MN (2019). A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data. [Data Collection]. PANGAEA. https://doi.org/10.1594/PANGAEA.904282

1 January 2019

Khachatryan, N (2019). Rapid Assessment of Avoidable Blindness Dataset: Armenia (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000355.

Do, S (2019). Rapid Assessment of Avoidable Blindness Dataset: Cambodia (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000357.

Sawahli, HA (2019). Rapid Assessment of Avoidable Blindness Dataset: Egypt, Sohag (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000358.

Mamutalieva, E (2019). Rapid Assessment of Avoidable Blindness Dataset: Kyrgyzstan, North-east (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000359.

Gurung, R (2019). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Bagmati Province (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000360.

Shahi, B (2019). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Karnali Province (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000361.

4 January 2019

Torres, AG, Vidal, RM, Muhsen, K, Tennant, SM, Svennerholm, A, Sow, SO, Sur, D, Zaidi, AKM, Faruque, ASG, Saha, D, Adegbola, R, Hossain, MJ, Alonso, PL, Breiman, RF, Bassat, Q, Tamboura, B, Sanogo, D, Onwuchekwa, U, Manna, B, Ramamurthy, T, Kanungo, S, Ahmed, S, Qureshi, S, Quadri, F, Hossain, A, Das, SK, Antonio, M, Mandomando, I, Nhampossa, T, Acácio, S, Omore, R, Ochieng, JB, Oundo, JO, Mintz, ED, O’Reilly, CE, Berkeley, LY, Livio, S, Panchalingam, S, Nasrin, D, Farag, TH, Wu, Y, Sommerfelt, H, Robins-Browne, RM, Del Canto, F, Hazen, TH, Rasko, DA, Kotloff, KL, Nataro, JP and Levine, MM (2019). Colonization factors among enterotoxigenic Escherichia coli isolates from children with moderate-to-severe diarrhea and from matched controls in the Global Enteric Multicenter Study (GEMS). [Data Collection]. PLoS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0007037

4 February 2019

Pacho, A and Fuller, S (2019). Precise Q1Q2 data_deidentified full dataset. [Data Collection]. St George's, University of London, London, United Kingdom. https://doi.org/10.24376/RD.SGUL.7660790.V1

12 February 2019

Babu, G (2019). Small for gestational age babies and depressive symptoms of mothers during pregnancy : Results from a birth cohort in India. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/BV8F6

19 February 2019

Lukindu, M, Bergey, CM, Wiltshire, RM, Small, ST, Bourke, BP, Kayondo, JK and Besansky, NJ (2019). Data from: Spatio-temporal genetic structure of Anopheles gambiae in the Northwestern Lake Victoria Basin, Uganda: implications for genetic control trials in malaria endemic regions. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.7p177s7

21 February 2019

Grant, AD, Baisley, K, Mzembe, T and Edwards, A (2019). Incidence of tuberculosis infection among adolescents in rural KwaZulu-Natal, South Africa, 2017-2018. [Data Collection]. AHRI Data Repository. https://data.ahri.org/index.php/catalog/912/

Balami, AD, Said, SM, Zulkefli, NAM, Bachok, N and Audu, B (2019). MOESM2 of Effects of a health educational intervention on malaria knowledge, motivation, and behavioural skills: a randomized controlled trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7750484.v1

11 March 2019

Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES (2019). De-identified symptom duration data in SPSS. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0212218.s007

Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES (2019). Syndromic survey de-identified data in SPSS. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0212218.s005

12 March 2019

Finger, F, Funk, S, White, K, Siddiqui, MR, Edmunds, WJ and Kucharski, AJ (2019). Additional file 2: of Real-time analysis of the diphtheria outbreak in forcibly displaced Myanmar nationals in Bangladesh. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7829816.v1

Muthui, MK, Mogeni, P, Mwai, K, Nyundo, C, Macharia, A, Williams, TN, Nyangweso, G, Wambua, J, Mwanga, D, Marsh, K, Bejon, P and Kapulu, MC (2019). Kilifi Malaria Longitudinal Cohort cross-sectional survey and weekly-follow-up surveillance data for the estimation of parasite prevalence and factors associated with gametocyte carriage. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/18QB3V

19 March 2019

Seeley, J and Edwards, A (2019). The direct and indirect effects of HIV/ AIDS on the Health and wellbeing of older people study (WOPS)- Wave 3. [Data Collection]. AHRI Data Repository. https://data.ahri.org/index.php/catalog/914

23 April 2019

Barry, A, Behet, MC, Nébié, I, Lanke, K, Grignard, L, Ouedraogo, A, Soulama, I, Drakeley, C, Sauerwein, R, Bolscher, JM, Dechering, KJ, Bousema, T, Tiono, AB and Gonçalves, BP (2019). Data from: Functional antibodies against Plasmodium falciparum sporozoites are associated with a longer time to qPCR-detected infection among schoolchildren in Burkina Faso. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.n1m33qq

25 April 2019

Webster, J, Landegger, J, Bruce, J, Malunda, D, Chantler, T, Kumakech, E, Schmucker, L, Kiapi, L, Kozuki, N, Olorunsaiye, C and Byrne, E (2019). Impacts of IRC’s Fifth Child community engagement strategy to increase immunisation in northern Uganda. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/6XGSOE

6 May 2019

Slater, HC, Ross, A, Felger, I, Hofmann, NE, Robinson, L, Cook, J, Gonçalves, BP, Björkman, A, Ouedraogo, AL, Morris, U, Msellem, M, Koepfli, C, Mueller, I, Tadesse, F, Gadisa, E, Domingo, G, Kapulu, M, Midega, J, Owusu-Agyei, S, Nabet, C, Piarroux, R, Doumbo, O, Doumbo, SN, Koram, K, Lucchi, N, Udhayakumar, V, Mosha, J, Tiono, A, Chandramohan, D, Gosling, R, Mwingira, F, Sauerwein, R, Riley, EM, White, NJ, Nosten, F, Imwong, M, Bousema, T, Drakeley, C and Okell, LC (2019). Data from: The temporal dynamics and infectiousness of subpatent Plasmodium falciparum infections in relation to parasite density. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.75t5382

7 May 2019

Arunga, S (2019). Traditional Eye Medicine use in Microbial Keratitis in Uganda. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/5GOPKZ

3 June 2019

Cox, SE (2019). Dataset and dictionary for inpatient mortality in a TB ward in the Philippines. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8217443.v1

Mota, JF, Lee, N, White, LV, Marin, FP, Saludar, NR, Solante, MB, Tactacan-Abrenica, RJC, Calapis, RW, Suzuki, M, Saito, N, Ariyoshi, K, Parry, CM, Edwards, T and Cox, SE (2019). Mid-upper arm circumference predicts death in adult patients admitted to a TB ward in the Philippines: A prospective cohort study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8003318.v1

6 June 2019

Agoti, CN, Plan, MVT, Munywoki, PK, Githinji, G, Medley, GF, Cane, PA, Kellam, P, Cotten, M and Nokes, DJ (2019). Replication Data for: Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/DUCQWE

14 June 2019

Demissie, SD, Larson, H, Chantler, T, Kozuki, N, Karafillakis, E, Landegger, J, Kiapi, L, Gebrekirstos, P, Mohammad, S, Wodajo, S and Langston, A (2019). Closing the immunisation gap in Ethiopia: a formative evaluation of 'The Fifth Child Project'. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/Z75DUF

Hébert-Dufresne, L, Althouse, BM, Skrip, L and Bedson, J (2019). Social Mobilization Action Consortium: Community Engagement data from the 2014-2016 Sierra Leone Ebola outbreak. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8247002.v1

22 June 2019

Wang, X, Bourne, A, Liu, P, Sun, J, Cai, T, Mburu, G, Cassolato, M, Wang, B and Zhou, W (2019). Data from: Understanding willingness to use oral pre-exposure prophylaxis for HIV prevention among men who have sex with men in China. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.806382j

2 August 2019

Desmond, C, Seeley, J and Barnett, T (2019). AHRI.Emergent Properties.2016-2017.v1. [Data Collection]. Africa Health Research Institute. https://doi.org/10.23664/AHRI.Emergent.Properties.v1

12 August 2019

Caruso, BA, Sclar, GD, Routray, P, Nagel, C, Majorin, F, Sola, S, Koehne, W, DeShay, R, Udaipuria, S, Williams, R and Clasen, T (2019). Impact of a multi-level intervention, Sundara Grama, on latrine use and safe disposal of child faeces in rural Odisha, India. [Data Collection]. Harvard Dataverse. https://doi.org/10.23846/TW14IE119.

20 August 2019

Derrick, T (2019). EXTENDED DATA [The conjunctival transcriptome in Ethiopians after trichiasis surgery: associations with the development of eyelid contour abnormalities and the effect of oral doxycycline treatment]. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9696263.v1

Derrick, T (2019). The conjunctival transcriptome in Ethiopians after trichiasis surgery: associations with the development of eyelid contour abnormalities and the effect of oral doxycycline treatment. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9696143.v1

21 August 2019

London School of Hygiene & Tropical Medicine (2019). The conjunctival transcriptome in Ethiopians after trichiasis surgery: associations with the development of eyelid contour abnormalities and the effect of oral doxycycline treatment. [Data Collection]. NCBI Gene Expression Omnibus. https://identifiers.org/geo:GSE135455

25 August 2019

Otieno, GP, Bottomley, C, Khagayi, S, Ogwel, B and Nokes, DJ (2019). Replication Data for: Impact of the introduction of rotavirus vaccine on hospital admissions for diarrhoea among children in Kenya: A controlled interrupted time series analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PH4COG

3 September 2019

Arunga, S (2019). The management of microbial keratitis within Uganda’s primary health system: a situational analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/MSLAOS

13 September 2019

Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App drug breakdown. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822077.v1

Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App drug breakdown (groups). [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822104.v1

Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App economic data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822122.v1

Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App species breakdown. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822179.v1

Delves, M, Lafuente-Monasterio, MJ, Upton, L, Ruecker, A, Leroy, D, Gamo, F and Sinden, R (2019). Table 1 - Fueling Open Innovation for Malaria Transmission-Blocking Drugs: Hundreds of Molecules Targeting Early Parasite Mosquito Stages. [Data Collection]. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2019.02134

19 September 2019

Ward, Z, Yeh, J, Bhakta, N, Frazier, AL, Girardi, F and Atun, R (2019). Simulation Results: Global Childhood Cancer Survival. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PWPA9E

10 October 2019

Mendes Jorge, M, Ouermi, L, Meissner, P, Compaoré, G, Coulibaly, B, Nebie, E, Krisam, J, Klose, C, Kieser, M, Jahn, A, Lu, G, D'Alessandro, U, Sié, A, Mockenhaupt, FP and Müller, O (2019). Safety and efficacy of artesunate-amodiaquine combined with either methylene blue or primaquine in children with falciparum malaria in Burkina Faso: A randomized controlled trial. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0222993.s003

22 October 2019

Zhang, J, Klepac, P, Read, J, Rosello, A, Wang, X, Lai, S, Li, M, Song, Y, Wei, Q, Jiang, H, Yang, J, Lynn, H, Flasche, S, Jit, M and Yu, H (2019). Social contact data for China mainland. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3516113

10 December 2019

Költringer, FA, Rudgard, WE, Annerstedt, KS, Boccia, D and Carter, D (2019). Supporting data for: "The social determinants of national tuberculosis incidence rates in 116 countries: a longitudinal ecological study between 2005– 2015". [Data Collection]. OSF. https://osf.io/x6uag/

11 December 2019

Aburto, JM (2019). jmaburto/Dynamics_Code V1.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3571095

12 December 2019

León-Gómez, BB, Gotsens, M, Marí-Dell’Olmo, M, Domínguez-Berjón, MF, Luque-Fernandez, MA, Martin, U, Rodríguez-Sanz, M and Pérez, G (2019). MOESM4 of Bayesian smoothed small-areas analysis of urban inequalities in fertility across 1999–2013. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11430522.v1

13 December 2019

Abbott, S (2019). seabbs/AssessBCGPolicyChange. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2635687

23 December 2019

DeCelles, J, Kaufman, Z, Bhauti, K, Hershow, R, Weiss, H, Chaibva, C, Moyo, N, Braunschweig, E, Mantula, F, Hatzold, K and Ross, D (2019). Voluntary medical male circumcision uptake through soccer in Zimbabwe. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/FI4R2V

2020

Hollingworth, S, Ruiz, F, Gad, M and Chalkidou, K (2020). iDSI HTA survey SSA Data sharing. [Data Collection]. The University of Queensland, Brisbane, Australia. https://doi.org/10.14264/uql.2020.178

1 January 2020

Mishra, S (2020). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Gandaki Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000377.

Mishra, S (2020). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Koshi Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000378.

Mishra, S (2020). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Madhesh Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000379.

Owoeye, J (2020). Rapid Assessment of Avoidable Blindness Dataset: Nigeria, Kogi (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000380.

8 January 2020

Vashist, P, Tandon, R, Murthy, G, Barua, C, Deka, D, Singh, S, Gupta, V, Gupta, N, Wadhwani, M, Singh, R and Vishwanath, K (2020). Association of cataract and sun exposure in geographically diverse populations of India: the case study. first report of the ICMR-EYE SEE study group. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.5qfttdz19

7 February 2020

Mooney, JP, Qendro, T, Keith, M, Philbey, AW, Groves, HT, Tregoning, JS, Goodier, MR and Riley, EM (2020). Data_Sheet_2_Natural Killer Cells Dampen the Pathogenic Features of Recall Responses to Influenza Infection. [Data Collection]. Frontiers. https://doi.org/10.3389/fimmu.2020.00135.s002

11 February 2020

Osborn, J, Roberts, T, Guillen, E, Bernal, O, Roddy, P, Ongarello, S, Sprecher, A, Page, A, Ribeiro, I, Piriou, E, Tamrat, A, de la Tour, R, Rao, VB, Flevaud, L, Jensen, T, McIver, L, Kelly, C and Dittrich, S (2020). Additional file 1 of Prioritising pathogens for the management of severe febrile patients to improve clinical care in low- and middle-income countries. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11835159.v1

12 February 2020

Li, E, Mawji, A, Akech, S, Chandna, A, Kissoon, N, Kortz, T, Lubell, Y, Turner, P, Wiens, M and Ansermino, M (2020). Guidelines for the standardized collection of predictor variables in studies for pediatric sepsis (guidelines)~Pediatric Sepsis Predictors Standardization (PS2) Working Group. [Data Collection]. Scholars Portal Dataverse. https://doi.org/10.5683/SP2/02LVVT

10 March 2020

Rahman, SIA, Dyson, ZA, Klemm, EJ, Khanam, F, Holt, KE, Chowdhury, EK, Dougan, G and Qadri, F (2020). Population structure and antimicrobial resistance patterns of Salmonella Typhi isolates in urban Dhaka, Bangladesh from 2004 to 2016. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0008036

18 March 2020

van der Laan, LC, Meeks, KAC, Chilunga, FP, Agyemang, C, Venema, A, Mannens, Marcel M. A. M., Zafarmand, MH, Klipstein-Grobusch, K, Smeeth, L, Adeyemo, A and Henneman, P (2020). Epigenome-wide association study for perceived discrimination among sub-Saharan African migrants in Europe - the RODAM study. [Data Collection]. Scientific Reports. h.

25 March 2020

Zameer, M, Phillips-White, N, Folorunso, O, Belt, R, Setayesh, H, Asghar, N and Chandio, A (2020). Immunization supply chain equity metrics for Pakistan. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12032106.v1

30 March 2020

Jombart, T, Abbott, S, Gimma, A, Van zandvoort, K and Jarvis, C (2020). Inferring COVID-19 cases from recent death. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3733046

8 April 2020

Tetteh, KKA (2020). Optimisation and standardisation of a multiplex immunoassay of diverse Plasmodium falciparum antigens to assess sero-epidemiological changes in malaria transmission. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/AUJ35

10 April 2020

Lenhart, A, Morrison, AC, Paz-Soldan, VA, Forshey, BM, Cordova-Lopez, JJ, Astete, H, Elder, JP, Sihuincha, M, Gotlieb, EE, Halsey, ES, Kochel, TJ, Scott, TW, Alexander, N and McCall, PJ (2020). The impact of insecticide treated curtains on dengue virus transmission: A cluster randomized trial in Iquitos, Peru. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0008097.s003

11 May 2020

Indriani, C, Tantowijoyo, W, Rancès, E, Andari, B, Prabowo, E, Yusdi, D, Ansari, MR, Wardana, DS, Supriyati, E, Nurhayati, I, Ernesia, I, Setyawan, S, Fitriana, I, Arguni, E, Amelia, Y, Ahmad, RA, Jewell, NP, Dufault, SM, Ryan, PA, Green, BR, McAdam, TF, O'Neill, SL, Tanamas, SK, Simmons, CP, Anders, KL and Utarini, A (2020). Reduced dengue incidence following deployments of Wolbachia-infected Aedes aegypti in Yogyakarta, Indonesia: a quasi-experimental trial using controlled interrupted time series analysis. [Data Collection]. Gates Open Research. https://doi.org/10.12688/gatesopenres.13122.1

20 May 2020

Nightingale, E, Waterlow, N, Clifford, S and Rees, E (2020). COVID-19 length of hospital stay. [Data Collection]. Github. https://github.com/esnightingale/los_review

3 June 2020

Leung, K, Jit, M, Lau, EHY and Wu, JT (2020). Social contact data for Hong Kong. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3874808

10 June 2020

Geer, A and Prowse, D (2020). PharmacoTXA Trial: Pharmacokinetics of Tranexamic Acid after oral, intramuscular or intravenous administration: a prospective, randomised, cross-over trial in healthy volunteers. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://freebird.lshtm.ac.uk/home/available-trials/

29 June 2020

Otieno, GP, Murunga, N, Agoti, CN, Gallagher, KE, Awori, JO and Nokes, DJ (2020). Replication Data for: Surveillance of endemic human coronaviruses (HCoV-NL63, OC43 and 229E) associated with pneumonia in Kilifi, Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/ZQ1DJY

17 July 2020

Matowo, NS, Tanner, M, Munhenga, G, Mapua, SA, Finda, M, Utzinger, J, Ngowi, V and Okumu, FO (2020). Additional file 1 of Patterns of pesticide usage in agriculture in rural Tanzania call for integrating agricultural and public health practices in managing insecticide-resistance in malaria vectors. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12668036.v1

5 August 2020

Candido, DS, Claro, IM, de Jesus, JG, Souza, WM, Moreira, FRR, Dellicour, S, Mellan, TA, du Plessis, L, Pereira, RHM, Sales, FCS, Manuli, ER, Thézé, J, Almeida, L, Menezes, MT, Voloch, CM, Fumagalli, MJ, Coletti, TM, da Silva, CAM, Ramundo, MS, Amorim, MR, Hoeltgebaum, HH, Mishra, S, Gill, MS, Carvalho, LM, Buss, LF, Prete, CA, Ashworth, J, Nakaya, HI, Peixoto, PS, Brady, OJ, Nicholls, SM, Tanuri, A, Rossi, Átila D., Braga, CK, Gerber, AL, de C. Guimarães, AP, Gaburo, N, Alencar, CS, Ferreira, AC, Lima, CX, Levi, JE, Granato, C, Ferreira, GM, Francisco, RS, Granja, F, Garcia, MT, Moretti, ML, Perroud, MW, Castiñeiras, Terezinha M. P. P., Lazari, CS, Hill, SC, de Souza Santos, AA, Simeoni, CL, Forato, J, Sposito, AC, Schreiber, AZ, Santos, MNN, de Sá, CZ, Souza, RP, Resende-Moreira, LC, Teixeira, MM, Hubner, J, Leme, PAF, Moreira, RG, Nogueira, ML, Ferguson, NM, Costa, SF, Proenca-Modena, JL, Vasconcelos, ATR, Bhatt, S, Lemey, P, Wu, C, Rambaut, A, Loman, NJ, Aguiar, RS, Pybus, OG, Sabino, EC and Faria, NR (2020). Data from: Evolution and epidemic spread of SARS-CoV-2 in Brazil. [Data Collection]. Dryad. http://doi.org/10.5061/dryad.rxwdbrv5z

Liu, Y (2020). yangclaraliu/COVID19_NPIs_vs_Rt. [Data Collection]. Github. https://github.com/yangclaraliu/COVID19_NPIs_vs_Rt

12 August 2020

Herrett, E (2020). emilyherrett/qrisk_cprd_gold: QRISK bundle version 2.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3981237

17 August 2020

Tomkins, J, Hazel, W, Black, R, Smock, R and Sear, R (2020). An age-dependent ovulatory strategy explains the evolution of dizygotic twinning in humans. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.h70rxwdfw

Tsang, KK (2020). karatsang/rulesbased_logisticregression. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3988479

20 August 2020

Dawa, J, Emukule, GO, Barasa, E, Widdowson, MA, Anzala, O, Van leeuwen, E, Baguelin, M, Chaves, SS and Eggo, RM (2020). Additional file 1 of Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12831240.v1

Dawa, J, Emukule, GO, Barasa, E, Widdowson, MA, Anzala, O, Van Leeuwen, E, Baguelin, M, Chaves, SS and Eggo, RM (2020). Additional file 3 of Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12831246.v1

1 September 2020

Deenan, P, Koole, O and Wong, E (2020). Performance of computer-aided chest radiography for detection of TB in a community-based multimorbidity cohort in rural KwaZulu-Natal. [Data Collection]. AHRI Data Repository. https://doi.org/10.23664/AHRI.VUKUZAZI.CHESTXRAYPAPERDATA

3 September 2020

Rees, EM, Nightingale, ES, Jafari, Y, Waterlow, NR, Clifford, S, B. Pearson, CA, CMMID Working Group, Jombart, T, Procter, SR and Knight, GM (2020). Additional file 2 of COVID-19 length of hospital stay: a systematic review and data synthesis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12910557.v1

17 September 2020

Ojal, J, Brand, SPC, Were, V, Okiro, EA, Kombe, IK, Mburu, C, Aziza, R, Ogero, M, Agweyu, A, Warimwe, GM, Uyoga, S, Adetifa, IM, Scott, JAG, Otieno, E, Ochola-Oyier, LI, Agoti, CN, Kasera, K, Amoth, P, Mwangangi, M, Aman, R, Ng’ang’a, W, Tsofa, B, Bejon, P, Barasa, E, Keeling, MJ and Nokes, DJ (2020). Replication Data for: Revealing the extent of the COVID-19 pandemic in Kenya based on serological and PCR-test data. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/RXAIPS

23 September 2020

Omondi, BR, Muthui, MK, Muasya, WI, Orindi, B, Mwakubambanya, RS, Bousema, T, Drakeley, C, Marsh, K, Bejon, P and Kapulu, MC (2020). Replication Data for: Antibody responses to crude gametocyte extract predicts P. falciparum gametocyte carriage in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UZWG9J

24 September 2020

Chapman, LAC (2020). LloydChapman/VLSpatiotemporalModelling. [Data Collection]. Github. https://github.com/LloydChapman/VLSpatiotemporalModelling

1 October 2020

Dorman, MJ, Domman, D, Poklepovich, T, Tolley, C, Zolezzi, G, Kane, L, Viñas, MR, Panagópulo, M, Moroni, M, Binsztein, N, Caffer, MI, Clare, S, Dougan, G, Salmond, GPC, Parkhill, J, Campos, J and Thomson, NR (2020). Supporting data for "Genomics of the Argentinian cholera epidemic elucidate the contrasting dynamics of epidemic and endemic Vibrio cholerae". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11310131.v1

7 October 2020

Nkosi-Gondwe, T (2020). Moderate to severe malnutrition in severe anemia study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13061447.v1

22 October 2020

Hogset, H, Horgan, C, Armstrong, J, Bergholt, M, Torraca, V, Chen, Q, Keane, T, Burgeon, L, Dallman, M, Mostowy, S and Stevens, M (2020). Research data supporting "In Vivo Biomolecular Imaging of Zebrafish Embryos using Confocal Raman Spectroscopy". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4059923

23 October 2020

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Continent Summary Reproduction Number (R) Based on Reported Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/A12ADQ

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Brazil Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/METDW2

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Germany Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/LNMJYJ

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for India Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PRP6CY

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Italy Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/8DUSHZ

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/QVWUJ5

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Hospital Admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CCE4XT

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United States of America Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BZ7FPH

2 November 2020

Mugiyo, H, Mabhaudhi, T, Chimonyo, VGP, Dalin, C, Sibanda, M, Kunz, R, Modi, AT and Nhamo, L (2020). Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13179881.v1

3 November 2020

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Collated Results of the National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Tests, Hospital Admissions and Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/4L3OKY

Hellewell, J, Lucas, T, Davis, E, Abbott, S, Gimma, A and Thompson, R (2020). timcdlucas/ringbp: Code as used in the paper "Engagement and adherence trade-offs for SARS-CoV-2 contact tracing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4221774

4 November 2020

Ssemata, AS, Opoka, RO, Ssenkusu, JM, Nakasujja, N, John, CC and Bangirana, P (2020). Final Z scores by regression for neurodevelopmental outcomes data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0240694.s001

26 November 2020

Ndwiga, L, Muteru, K, Wamae, K, Osoti, V, Akinyi, M, Omedo, I, Andagalu, B, Ghansah, A, Ishengoma, D, Amambua-Ngwa, A, Raman, J, Duah-Quashie, N, Tessema, S, Karema, C, Tukwasibwe, S, Djimde, A, Dondorp, A, Snow, R, Bejon, P and Ochola-Oyier, L (2020). Replication Data for: The emergence of an indigenous artemisinin-resistant Plasmodium falciparum in Africa. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/EUPXCF

27 November 2020

Ellis, J (2020). WOR CM co-infections data file.xlsx. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13295858.v1

15 December 2020

DeLacey, E (2020). Data for: "The nutritional status of children living within institutionalized care: a retrospective analysis with control charts for program monitoring". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001994.

Srilohasin, P, Prammananan, T, Faksri, K, Phelan, JE, Suriyaphol, P, Kamolwat, P, Smithtikarn, S, Disratthakit, A, Regmi, SM, Leechawengwongs, M, Twee-Hee Ong, R, Teo, YY, Tongsima, S, Clark, TG and Chaiprasert, A (2020). Genomic evidence supporting the clonal expansion of extensively drug-resistant tuberculosis bacteria belonging to a rare proto-Beijing genotype. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13378598.v1

17 December 2020

Davies, NG (2020). nicholasdavies/covidm-alpha. [Data Collection]. Github. https://github.com/nicholasdavies/covidm-alpha

21 December 2020

Sun, H, Dickens, BL, Jit, M, Cook, AR and Carrasco, LR (2020). Mapping the cryptic spread of the 2015–2016 global Zika virus epidemic. [Data Collection]. BMC Medicine. https://doi.org/10.1186/s12916-020-01845-x

1 January 2021

Ababora, JK (2021). Rapid Assessment of Avoidable Blindness Dataset: Ethiopia, Oromia, Jimma (2021). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000382.

Mishra, S (2021). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Sudurpashchim Province (2021). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000385.

7 January 2021

Muchene, L and Safari, W (2021). Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0243208.s006

8 January 2021

Oliphant, NP, Ray, N, Bensaid, K, Ouedraogo, A, Gali, AY, Habi, O, Maazou, I, Panciera, R, Muñiz, M, Sy, Z, Manda, S, Jackson, D and Doherty, T (2021). Supplementary Appendix 1b of "Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4428176

12 January 2021

Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding, TJ and Vassall, A (2021). Value TB Dataset: costs per direct & ancillary service. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UGYNGT

15 January 2021

Scriba, TJ, Fiore-Gartland, A, Penn-Nicholson, A, Mulenga, H, Kimbung Mbandi, S, Borate, B, Mendelsohn, SC, Hadley, K, Hikuam, C, Kaskar, M, Musvosvi, M, Bilek, N, Self, S, Sumner, T, White, RG, Erasmus, M, Jaxa, L, Raphela, R, Innes, C, Brumskine, W, Hiemstra, A, Malherbe, ST, Hassan-Moosa, R, Tameris, M, Walzl, G, Naidoo, K, Churchyard, G and Hatherill, M (2021). RISK11 signature scores for the biomarker-guided tuberculosis preventive therapy (CORTIS) randomised controlled trial. [Data Collection]. University of Cape Town. https://doi.org/10.25375/uct.13573337.v1

Bhaskaran, K and Inglesby, P (2021). opensafely/covid-vs-noncovid-deaths-research. [Data Collection]. Github. https://github.com/opensafely/covid-vs-noncovid-deaths-research

18 January 2021

Abbott, S and Meakin, S (2021). epiforecasts/covid19.nhs.data: Initial release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4447465

19 January 2021

Mugiyo, H, Chimonyo, VGP, Sibanda, M, Kunz, R, Nhamo, L, Masemola, CR, Dalin, C, Modi, AT and Mabhaudhi, T (2021). S1 File for "Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa". [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0244734.s012

21 January 2021

Eyre, MT, Burns, R, Kirkby, V, Smith, C, Denaxas, S, Nguyen, V, Hayward, A, Shallcross, L, Fragaszy, E and Aldridge, RW (2021). Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study - Supplementary material, code and data. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/5J6DY

22 January 2021

Oliphant, NP, Ray, N, Bensaid, K, Ouedraogo, A, Gali, AY, Habi, O, Maazou, I, Panciera, R, Muñiz, M, Manda, SO, Sy, Z, Jackson, D and Doherty, T (2021). Supplementary Appendix 1c of "Toward a geography of community health workers in Niger: a geospatial analysis". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13536779.v5

23 January 2021

Dahiru Balami, A, Said, SM, Zulkefli, NAM, Norsa’adah, B and Audu, B (2021). Additional file 1 of Improving malaria preventive practices and pregnancy outcomes through a health education intervention: A randomized controlled trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13627127.v1

2 February 2021

Jarvis, C (2021). jarvisc1/comix_uk_covid_restrictions. [Data Collection]. Github. https://github.com/jarvisc1/comix_uk_covid_restrictions

7 February 2021

Chapman, LAC, Shukla, P and Lo, NC (2021). Comparison of COVID-19 vaccine prioritization strategies in the United States. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4516525

8 February 2021

Bousema, T (2021). Data from: Higher gametocyte production and mosquito infectivity in chronic compared to incident Plasmodium falciparum infections. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.pc866t1n3

12 February 2021

Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding,, TJ and Vassall, A (2021). Value TB Dataset: costs per intervention. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/QOI6IR

18 February 2021

Davies, NG, Abbott, S, Barnard, RC, Jarvis, CI, Kucharski, AJ, Munday, J, Pearson, CAB, Russell, TW, Tully, DC, Washburne, AD, Wenseleers, T, Gimma, A, Waites, W, Wong, KL, van Zandvoort, K, Silverman, JD, Diaz-Ordaz, K, Keogh, R, Eggo, RM, Funk, S, Jit, M, Atkins, KE and Edmunds, WJ (2021). Analysis data and code for "Estimated transmissibility and impact of SARS-CoV-2 Variant of Concern 202012/01 in England". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4549674

25 February 2021

Davies, NG, Abbott, S, Barnard, RC, Jarvis, CI, Kucharski, AJ, Munday, J, Pearson, CAB, Russell, TW, Tully, DC, Washburne, AD, Wenseleers, T, Gimma, A, Waites, W, Wong, KL, van Zandvoort, K, Silverman, JD, Diaz-Ordaz, K, Keogh, R, Eggo, RM, Funk, S, Jit, M, Atkins, KE and Edmunds, WJ (2021). Analysis data and code for "Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England". [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4562961

1 March 2021

Pavelka, M, van Zandvoort, K, Abbott, S, Sherratt, K, Majdan, M, Jarcuska, P, Krajci, M, Flasche, S and Funk, S (2021). Data and R code accompanying the manuscript "The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4570938

3 March 2021

Jung, S, Endo, A, Kinoshita, R and Nishiura, H (2021). SungmokJung/Projection_Japan_COVID19 v1.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4576936

4 March 2021

Davies, NG, Jarvis, CI, CMMID COVID-19 Working Group, Edmunds, WJ, Jewell, NP, Diaz-Ordaz, K and Keogh, RH (2021). Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4579856

12 March 2021

Quilty, BJ, Hellewell, J, Clifford, S and CMMID COVID-19 working group (2021). R code for: "Confirmatory testing with a second lateral flow test may mitigate false positives at low levels of SARS-CoV-2 prevalence in English schools". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002074.

18 March 2021

Laban, N (2021). Comparable exposure to SARS-CoV-2 in young children and healthcare workers in Zambia. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14237285.v2

Rees, E (2021). erees/seasonalHCoV. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4618261

23 March 2021

Lowe, R (2021). Data and R code to accompany 'Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4632204

Wang, SV, Sreedhara, SK, Schneeweiss, S and REPEAT Initiative (2021). Reproducible Evidence: Practices to Enhance and Achieve Transparency (REPEAT). [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/MY5GN

30 March 2021

Masselot, P (2021). PierreMasselot/Frontier-FrenchScientificYoutube. [Data Collection]. Github. https://github.com/PierreMasselot/Frontier-FrenchScientificYoutube

Pisani, E, Hasnida, A, Rahmi, M, Harsono, S, Kok, M and Anggriani, Y (2021). Supplementary material for Pisani et al: Substandard and falsified medicines: proposed methods for case finding and sentinel surveillance. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/SELJ0Z

Kessler, NJ (2021). knowah/bssnper2. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4647012

1 April 2021

Kelly-Hope, LA, Sanders, AM, Harding-Esch, E, Willems, J, Ahmed, F, Vincer, F and Hill, R (2021). Additional file 3 of Complex emergencies and the control and elimination of neglected tropical diseases in Africa: developing a practical approach for implementing safe and effective mapping and intervention strategies. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14355439.v1

7 April 2021

Wright, K, de Silva, K, Plain, KM, Purdie, AC, Blair, TA, Duggin, IG, Britton, WJ and Oehlers, SH (2021). Source data for graphs. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1009186.s008

Wright, K, de Silva, K, Plain, KM, Purdie, AC, Blair, TA, Duggin, IG, Britton, WJ and Oehlers, SH (2021). miR-206 target prediction results from TargetScan analysis. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1009186.s007

19 April 2021

Burke, R (2021). rachaelmburke/tbcovidblantyre. [Data Collection]. Github. https://github.com/rachaelmburke/tbcovidblantyre

20 April 2021

Brand, S and Ojal, J (2021). ojal/KenyaSerology. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4705243

Mitchell, K, Purcell, C, Forsyth, R, Barry, S, Hunter, R, Simpson, SA, McDaid, L, Elliot, L, McCann, M, Wetherall, K, Broccatelli, C, Bailey, JV and Moore, L (2021). A peer-led intervention to promote sexual health in secondary schools: the STASH feasibility study. [Data Collection]. University of Glasgow, Glasgow, Scotland. https://doi.org/10.5525/gla.researchdata.1110

22 April 2021

Dorman, M, Thomson, NR and Campos, J (2021). Supporting data for "Genomic contextualisation of ancient DNA molecular data from an Argentinian fifth pandemic Vibrio cholerae infection". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13636577.v1

23 April 2021

Mbaruku, G (2021). Testing the recording of priority facility-based, maternal and newborn coverage indicators for use in health management information systems. [Data Collection]. Ifakara Health Institute data repository. https://doi.org/10.17890/ihi.2017.09.99

7 May 2021

Lovell-Read, FA, Funk, S, Obolski, U, Donnelly, CA and Thompson, RN (2021). Supplementary material from "Interventions targeting non-symptomatic cases can be important to prevent local outbreaks: SARS-CoV-2 as a case study". [Data Collection]. The Royal Society. https://doi.org/10.6084/m9.figshare.c.5416023.v1

10 May 2021

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Belgium Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/NALGQJ

11 May 2021

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). Continent Summary Reproduction Number (R) Based on Reported Cases. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/F9HVNL

Fuehrer, H, Dombrowski, JG, Barateiro, A, Peixoto, EPM, Barros, André Boler Cláudio da Silva, Souza, RMd, Clark, TG, Campino, S, Wrenger, C, Wunderlich, G, Palmisano, G, Epiphanio, S, Gonçalves, LA and Marinho, CRF (2021). Study database for: "Adverse pregnancy outcomes are associated with Plasmodium vivax malaria in a prospective cohort of women from the Brazilian Amazon". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009390.s009

14 May 2021

McCarthy, M, O'Keeffe, L, Williamson, P, Sydes, M, Farrin, A, Lugg-Widger, F, Davies, G, Avery, K, Chan, A, Kwakkenbos, L, Thombs, B, Watkins, A, Hemkens, LG, Gale, C, Zwarenstein, M, Langan, S, Thabane, L, Juszczak, E, Moher, D and Kearney, P (2021). The development of a SPIRIT extension for trials conducted using cohorts and routinely collected data (SPIRIT-ROUTINE). [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/VQRUW

17 May 2021

Spake, L, Schaffnit, S, Sear, R, Shenk, MK, Sosis, R and Shaver, J (2021). Mother's partnership status and allomothering networks in the United Kingdom and United States. [Data Collection]. Open Science Framework. https://osf.io/zpu5f/

18 May 2021

Paton, RS, Kamau, A, Akech, S, Agweyu, A, Ogero, M, Mwandawiro, C, Mturi, N, Mohammed, S, Mpimbaza, A, Kariuki, S, Otieno, NA, Nyawanda, BO, Mohamed, AF, Mtove, G, Reyburn, H and Gupta, S (2021). Replication Data for: Malaria infection and severe disease risks in Africa. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/XGDB3K

20 May 2021

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Austria). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4775972

Auzenbergs, M, Fountain, H, Macklin, G, Lyons, H and O'reilly, KM (2021). mauzenbergs/polio_vdpv. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4769689

24 May 2021

Shaver, J, Shenk, MK, Sear, R, Sosis, R, Spake, L, Schaffnit, S, Lynch, R and Hassan, A (2021). The Evolutionary Dynamics of Religion, Family Size, and Child Success. [Data Collection]. OSF. https://osf.io/b865v

25 May 2021

Randera-Rees, S, Safari, WC, Gareta, D, Herbst, K, Baisley, K and Grant, AD (2021). Clinic attendance by sex and HIV status in rural South Africa. [Data Collection]. Africa Health Research Institute (AHRI). https://doi.org/10.23664/AHRI.CLINIC.VISITS.CODE.2021

1 June 2021

Prem, K (2021). kieshaprem/synthetic-contact-matrices. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4889499

7 June 2021

Oliphant, NP, Ray, N, Bensaid, K, Ouedraogo, A, Gali, AY, Habi, O, Maazou, I, Panciera, R, Muñiz, M, Sy, Z, Manda, S, Jackson, D and Doherty, T (2021). Supplementary Appendix 1c of "Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger". [Data Collection]. Zenodo.

Burke, R (2021). rachaelmburke/hivhospital. [Data Collection]. Github. https://github.com/rachaelmburke/hivhospital

Pollington, TM, Tildesley, MJ, Hollingsworth, TD and Chapman, LAC (2021). t-pollington/developments_tau_statistic. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4906403

10 June 2021

Dorman, M, Thomson, NR and Campos, J (2021). Genomic contextualisation of ancient DNA molecular data from an Argentinian fifth pandemic Vibrio cholerae infection. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14384225.v1

14 June 2021

Davidson, JA (2021). jenAdavidson/cvrisk_mace_ari. [Data Collection]. Github. https://github.com/jenAdavidson/cvrisk_mace_ari

17 June 2021

Mutua, MK, Wado, YD, Malata, M, Kabiru, CW, Akwara, E, Melesse, DY, Fall, NA, Coll, CVN, Faye, C and Barros, AJD (2021). Additional file 1 of Wealth-related inequalities in demand for family planning satisfied among married and unmarried adolescent girls and young women in sub-Saharan Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14795557.v1

19 June 2021

Fujisawa, K, Silcott-Niles, C, Simonson, P, Lamattina, D, Humeres, CA, Bhattacharyya, T, Mertens, P, Thunissen, C, O’Rourke, V, Pańczuk, M, Whitworth, JA, Salomón, OD and Miles, MA (2021). Consolidated results of dogs in the 2018 and 2019 studies. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009552.s001

21 June 2021

Pavanello, F, De Cian, E, Davide, M, Mistry, M, Cruz, TB, Bezerra, PdS, Jagu, D, Renner, S, Schaffer, R and Lucena, AFP (2021). Data for: Air-Conditioning and the Adaptation Cooling Deficit in Emerging Economies, Pavanello et al 2021. [Data Collection]. Mendeley Data. https://doi.org/10.17632/ws7cmwbnfg.1

26 June 2021

Lay, C, Chu, CW, Purbojati, RW, Acerbi, E, Drautz-Moses, DI, de Sessions, PF, Jie, S, Ho, E, Kok, YJ, Bi, X, Chen, S, Mak, SY, Chua, MC, Goh, AEN, Chiang, WC, Rao, R, Chaithongwongwatthana, S, Khemapech, N, Chongsrisawat, V, Martin, R, Koh, Y, Lohar, SR, Tan, ICH, Anng, WA, Jie, C, Bartke, N, Ben-Amor, K, Renes, IB, Wong, F, Roeselers, G, Ho, YS, Hibberd, ML, Schuster, SC and Knol, J (2021). Data for: "A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom.

27 June 2021

Spadar, A, Phelan, J, Diez-Benavente, E, Campos, M, Gomez, LF, Mohareb, F, Clark, TG and Campino, S (2021). Data for: "Flavivirus integrations in Aedes aegypti are limited and highly conserved across samples from different geographic regions unlike integrations in Aedes albopictus". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002482.

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Colombia Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/GI8EVP

28 June 2021

Abbott, S, Hickson, J, Badr, HS, Funk, S, Monticone, P, Ellis, P, Munday, JD, Allen, J, Pearson, CAB, DeWitt, M, Bosse, N and Meakin, S (2021). epiforecasts/EpiNow2. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3957489

29 June 2021

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Denmark). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040530

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (France). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040870

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Italy). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041112

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Poland). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041128

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Portugal). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041140

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Spain). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040839

5 July 2021

Uyoga, S, Adetifa, IM, Otiende, M, Gitonga, JN, Mugo, D, Nyagwange, J, Karanja, HK, Tuju, J, Makale, J, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng’ang’a, W, Chege, E, Yegon, C, Kithi, K, Odhiambo, E, Rotich, T, Orgut, I, Kihara, S, Bottomley, C, Kagucia, EW, Gallagher, KE, Etyang, A, Voller, S, Lambe, T, Wright, D, Barasa, E, Tsofa, B, Mwangangi, J, Bejon, P, Ochola-Oyier, LI, Warimwe, GM, Agweyu, A and Scott, JAG (2021). Replication Data for: Prevalence of SARS-CoV-2 Antibodies from a one-year National Serosurveillance of Kenyan Blood Transfusion Donors. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/3E1YSQ

13 July 2021

Wilkinson, KA, Maokola, WM, Ngowi, BJ, Mahande, MJ, Todd, J, Robert, M and Msuya, SE (2021). Impact of Isoniazid Preventive Therapy on Tuberculosis incidence among people living with HIV: A secondary data analysis using Inverse Probability Weighting of individuals attending HIV care and treatment clinics in Tanzania. S1 Dataset. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0254082.s001

15 July 2021

Oxborough, RM, Seyoum, A, Yihdego, Y, Chabi, J, Wat’senga, F, Agossa, FR, Coleman, S, Musa, SL, Faye, O, Okia, M, Bayoh, M, Alyko, E, Rakotoson, J, Masendu, H, Sovi, A, Gadiaga, L, Abong’o, B, Opondo, K, Baber, I, Dabire, R, Gnanguenon, V, Yohannes, G, Varela, K, Fondjo, E, Carlson, J, Armistead, JS and Dengela, D (2021). Additional file 1 of Determination of the discriminating concentration of chlorfenapyr (pyrrole) and Anopheles gambiae sensu lato susceptibility testing in preparation for distribution of Interceptor® G2 insecticide-treated nets. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14984900.v1

Oxborough, RM, Seyoum, A, Yihdego, Y, Chabi, J, Wat’senga, F, Agossa, FR, Coleman, S, Musa, SL, Faye, O, Okia, M, Bayoh, M, Alyko, E, Rakotoson, J, Masendu, H, Sovi, A, Gadiaga, L, Abong’o, B, Opondo, K, Baber, I, Dabire, R, Gnanguenon, V, Yohannes, G, Varela, K, Fondjo, E, Carlson, J, Armistead, JS and Dengela, D (2021). Additional file 2 of Determination of the discriminating concentration of chlorfenapyr (pyrrole) and Anopheles gambiae sensu lato susceptibility testing in preparation for distribution of Interceptor® G2 insecticide-treated nets. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14984906.v1

Oxborough, RM, Seyoum, A, Yihdego, Y, Chabi, J, Wat’senga, F, Agossa, FR, Coleman, S, Musa, SL, Faye, O, Okia, M, Bayoh, M, Alyko, E, Rakotoson, J, Masendu, H, Sovi, A, Gadiaga, L, Abong’o, B, Opondo, K, Baber, I, Dabire, R, Gnanguenon, V, Yohannes, G, Varela, K, Fondjo, E, Carlson, J, Armistead, JS and Dengela, D (2021). Additional file 3 of Determination of the discriminating concentration of chlorfenapyr (pyrrole) and Anopheles gambiae sensu lato susceptibility testing in preparation for distribution of Interceptor® G2 insecticide-treated nets. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14984909.v1

Niles, RA, Thickstun, CR, Cox, H, Dilliott, D, Burgert-Brucker, CR, Harding-Esch, EM, Clementson, N, Sampson, A, Alexandre, JS, Morice Trejos, AC, Scholte, RGC and Krentel, A (2021). Community Survey of Lymphatic Filariasis Mass Drug Administration Acceptability in Guyana, August 2019. [Data Collection]. UNC Dataverse. https://doi.org/10.15139/S3/VIOTDL

21 July 2021

Yakob, L (2021). lwyakob/COVIDquarantine. [Data Collection]. Github. https://github.com/lwyakob/COVIDquarantine

24 July 2021

Chowdhury, S, Pozzer, A, Haines, A, Klingmüller, K, Münzel, T, Paasonen, P, Sharma, A, Venkataraman, C and Lelieveld, J (2021). Global health burden of ambient PM2.5 and the role of anthropogenic black carbon and organic aerosols. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5131659

26 July 2021

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Greece). [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.5137218

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Slovenia). [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.5137239

28 July 2021

De Figueiredo, A (2021). Global intent to accept COVID-19 vaccines. [Data Collection]. OSF. https://osf.io/8vezs

Sumner, T (2021). tomsumner/CORTIS_HR_CE. [Data Collection]. Github. https://github.com/tomsumner/CORTIS_HR_CE

9 August 2021

De figueiredo, A (2021). Impact of vaccine passports on inclination to accept COVID-19 vaccinations in the UK. [Data Collection]. OSF. https://osf.io/xh9p7/

12 August 2021

Simons, D (2021). DidDrog11/smoking_covid_bayes. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4002046

Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Impact of the DREAMS interventions on educational attainment among adolescent girls and young women: Causal analysis of a prospective cohort in urban Kenya. Analytical datasets. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0255165.s012

Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Number and proportions of AGYW aged 15–22 years retained in the study vs those lost to follow up at endline (2019), by AGYW characteristics. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0255165.s008

Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Number of interventions accessed by age group, schooling status at baseline, and invitation to DREAMS. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0255165.s009

Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Results from sensitivity analysis for associations between DREAMS and educational attainment. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0255165.s011

17 August 2021

Du, J, Page, AE and Mace, R (2021). Allocare project. [Data Collection]. OSF. https://osf.io/bh9ya/?view_only=6d201b5a998c4de4820db99e014b8967

22 August 2021

Pung, R (2021). rachaelpung/serial_interval_covid_b.1.617.2. [Data Collection]. Github. https://github.com/rachaelpung/serial_interval_covid_b.1.617.2

23 August 2021

Abbott, S and Funk, S (2021). epiforecasts/covid19.sgene.utla.rt. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5236661

Tennant, WSD, Cardinale, E, Cêtre-Sossah, C, Moutroifi, Y, Le Godais, G, Colombi, D, Spencer, SEF, Tildesley, MJ, Keeling, MJ, Charafouddine, O, Colizza, V, Edmunds, WJ and Métras, R (2021). wtennant/rvf_comoros: Supporting data and code for 'Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5234876

25 August 2021

Oliveira, MD, Vieira, AL, Dimitrovová, K, Angelis, A, Kanavos, P and Bana e Costa, C (2021). IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1st Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5256671

Oliveira, MD, Dimitrovová, K, Vieira, AL, Angelis, A, Kanavos, P and Bana e Costa, C (2021). IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 2nd Web-Delphi process to HTA stakeholders, organized in a single panel. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5256844

Oliveira, MD, Dimitrovová, K, Angelis, A, Kanavos, P and Bana e Costa, C (2021). Results of the Web-Delphi process to YLV stakeholders (three rounds). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5257424

26 August 2021

Sringernyuang, L, Whanpuch, P, Poompruek, P and Chandler, C (2021). Anti-microbials In Society - Thailand, Study 1, 2017-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855071

Blassel, L, Tostevin, A, Villabona-arenas, CJ, Peeters, M, Hue, S and Gascuel, O (2021). Archive of figure generating data. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1008873.s007

27 August 2021

Oliveira, MD, Dimitrovová, K, Angelis, A, Kanavos, P and Bana e Costa, C (2021). Results of the Web-Delphi process to INAMI stakeholders (three rounds). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5257297

29 August 2021

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). Local Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UIM3MB

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Canada Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/2CNKZJ

31 August 2021

Chuengsatiansup, K, Chawraingern, S, Limsawart, W, Urapeepathanapong, T, Chanchamsang, U and Chandler, C (2021). Anti-microbials in Society - Thailand, Study 2, 2017-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855072

6 September 2021

Waterlow, NR, Van Leeuwen, E, Davies, N, Flasche, S and Eggo, RM (2021). cmmid/coronavirus_immunity. [Data Collection]. Github. https://github.com/cmmid/coronavirus_immunity

8 September 2021

Beilinson, HA, Glynn, RA, Yadavalli, AD, Xiao, J, Corbett, EL, Saribasak, H, Arya, R, Miot, C, Bhattacharyya, A, Jones, JM, Pongubala, JM, Bassing, CH and Schatz, DG (2021). The RAG1 N-terminal region regulates the efficiency and pathways of synapsis for V(D)J recombination. [Data Collection]. immunoSEQ Analyze. https://doi.org/10.21417/HAB2021JEM

Wigley, S, Holmer, H and Allen, LN (2021). drlukeallen/NCD-Policy-Implementation. [Data Collection]. Github. https://github.com/drlukeallen/NCD-Policy-Implementation

9 September 2021

Moodley, B, Chinorumba, A, Hamman, C, Matamba, A, Sikaala, CH, Kleinschmidt, I and Frean, J (2021). Additional file 5 of Improving the quality of malaria diagnosis in southern Africa through the development of a regional malaria slide bank. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16590714.v1

14 September 2021

Ku, C, MacPherson, P, Khundi, M, Nzawa Soko, RH, Feasey, HRA, Nliwasa, M, Horton, KC, Corbett, EL and Dodd, PJ (2021). Durations of asymptomatic, symptomatic, and care-seeking phases of tuberculosis disease with a Bayesian analysis of prevalence survey and notification data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002633.

Levecke, B, Coffeng, LE, Hanna, C, Pullan, RL and Gass, KM (2021). The data used to determine the required diagnostic performance, the sample size and the corresponding decision cut-offs. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009740.s004

22 September 2021

Checchi, F, Testa, A, Gimma, A, Koum-Besson, E and Warsame, A (2021). francescochecchi/mortality_small_area_estimation. [Data Collection]. Github. https://github.com/francescochecchi/mortality_small_area_estimation

23 September 2021

Diamond, C, Gong, H, Sun, FY, Liu, Y, Quilty, B, Jit, M, Yang, J, Yu, H, Edmunds, WJ and Baguelin, M (2021). EIDECDIA/China_influenza_seasonality. [Data Collection]. Github. https://github.com/EIDECDIA/China_influenza_seasonality

25 September 2021

Parker, E (2021). eparker12/RoVI: Analysis code and data for RoVI study primary outcomes. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5528336

28 September 2021

Weckman, AM, Conroy, AL, Madanitsa, M, Gnaneswaran, B, McDonald, CR, Kalilani-Phiri, L, Chandna, J, Ali, D, Mwapasa, V, Khairallah, C, Thwai, KL, Meshnick, SR, Taylor, SM, ter Kuile, FO, Kain, KC and Gladstone, M (2021). Neurocognitive outcomes in Malawian children exposed to malaria during pregnancy: An observational birth cohort study. Anonymized dataset, wide format. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1003701.s001

Liao, J, Kirby, MA, Pillarisetti, A, Piedrahita, R, Balakrishnan, K, Sambandam, S, Mukhopadhyay, K, Ye, W, Rosa, G, Majorin, F, Dusabimana, E, Ndagijimana, F, McCracken, JP, Mollinedo, E, de Leon, O, Díaz-Artiga, A, Thompson, LM, Kearns, KA, Naeher, L, Rosenthal, J, Clark, ML, Steenland, K, Waller, LA, Checkley, W, Peel, JL and Clasen, T (2021). Replication Data for: LPG stove and fuel intervention among pregnant women reduce fine particle air pollution exposures in three countries: Pilot results from the HAPIN trial. [Data Collection]. Harvard Dataverse. https://doi.org/10.15139/S3/XSGXUM

Koltai, M (2021). Source data for "Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5534768

1 October 2021

Phillips, D, Gemechu, T, Parry, E, Yacoub, M and Kotit, S (2021). Community-based prevalence of Rheumatic Heart Disease in rural Ethiopia: five-year follow-up. [Data Collection]. University of Southampton, Southampton, United Kingdom. https://doi.org/10.5258/SOTON/D1987

Fu, H and Abbas, KM (2021). lshtm-vimc/dynamice. [Data Collection]. Github. https://github.com/lshtm-vimc/dynamice

4 October 2021

Springmann, M (2021). Supplementary data to "The global and regional costs of healthy and sustainable dietary patterns: a modelling study". [Data Collection]. University of Oxford, Oxford, United Kingdom. https://doi.org/10.5287/bodleian:bpPJMRzJo

5 October 2021

Clements, AJ and Fadai, NT (2021). nfadai/Clements2021. [Data Collection]. GitHub. https://github.com/nfadai/Clements2021

12 October 2021

Chen-hussey, V (2021). Response of Hyalomma marginatum to 20% DEET. [Data Collection]. Mendeley Data. https://doi.org/10.17632/gg5f674w7m.1

14 October 2021

Yasuda, I, Saito, N, Suzuki, M, Umipig, DV, Solante, RM, Guzman, FD, Sayo, AR, Yasunami, M, Koizumi, N, Kitashoji, E, Sakashita, K, Ng, CFS, Smith, C and Ariyoshi, K (2021). Unique characteristics of new complete blood count parameters, the Immature Platelet Fraction and the Immature Platelet Fraction Count, in dengue patients. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16810771.v1

15 October 2021

Orindi, BO, Ziraba, A, Bruyneel, L, Floyd, S and Lesaffre, E (2021). Invariance of the WHO violence against women instrument among Kenyan adolescent girls and young women: Bayesian psychometric modeling. S1 Dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0258651.s007

19 October 2021

Galofré-Vilà, G, Meissner, CM, Mckee, M and Stuckler, D (2021). Austerity and the rise of the nazi party. [Data Collection]. Inter-university Consortium for Political and Social Research. https://doi.org/10.3886/E125101V1

Witkowska McConnell, W, Davis, C, Sabir, SR, Garrett, A, Bradley-Stewart, A, Jajesniak, P, Reboud, J, Xu, G, Yang, Z, Gunson, R, Thomson, EC and Cooper, J (2021). Loop mediated isothermal amplification as a powerful tool for early diagnosis of hepatitis C virus. [Data Collection]. University of Glasgow. https://doi.org/10.5525/gla.researchdata.1127

Bauduin, S, Chubaty, A, McIntire, E, Kohli, M and Gruson, H (2021). PredictiveEcology/NetLogoR. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3695051

21 October 2021

Murphy, N, Cardinal, MV, Bhattacharyya, T, Enriquez, GF, Macchiaverna, NP, Alvedro, A, Freilij, H, Martinez de Salazar, P, Molina, I, Mertens, P, Gilleman, Q, Gürtler, RE and Miles, MA (2021). Additional file 5 of Assessing antibody decline after chemotherapy of early chronic Chagas disease patients. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16841066.v1

Mee, P, Alexander, N and Colón-González, FJ (2021). Paul-Mee/clic_brazil. [Data Collection]. Github. https://github.com/Paul-Mee/clic_brazil

22 October 2021

Wu, JT, Mei, S, Luo, S, Leung, K, Liu, D, Lv, Q, Liu, J, Li, Y, Prem, K, Jit, M, Weng, J, Feng, T, Zheng, X and Leung, GM (2021). Table S4 from A global assessment of the impact of school closure in reducing COVID-19 spread. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16851696.v1

25 October 2021

Isac, S, Javalkar, P, Platt, L, Watts, C and Heise, L (2021). Samvedana Plus: Reducing Violence and Increasing Condom Use in the Intimate Partnerships of female Sex Workers in Bagalkote District, North Karnataka, South India. [Data Collection]. MEDAT Data Repository. https://medat.samrc.ac.za/index.php/catalog/37/

27 October 2021

Pray, IW, Pizzitutti, F, Bonnet, G, Gonzales-Gustavson, E, Wakeland, W, Pan, WK, Lambert, WE, Gonzalez, AE, Garcia, HH and O’Neal, SE (2021). Data file including CystiAgent simulation results, observed results from the Ring Strategy Trial, and all intervention settings for each village evaluated (n = 21 villages). [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009885.s002

Endo, A, Uchida, M, Hayashi, N, Liu, Y, Atkins, KE, Kucharski, AJ and Funk, S (2021). akira-endo/schooldynamics_FluMatsumoto14-15: Within and between classroom transmission patterns of seasonal influenza among primary school students in Matsumoto city, Japan. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5604502

29 October 2021

Mowbray, CE, Braillard, S, Glossop, PA, Whitlock, GA, Jacobs, RT, Speake, J, Pandi, B, Nare, B, Maes, L, Yardley, V, Freund, Y, Wall, RJ, Carvalho, S, Bello, D, Van den Kerkhof, M, Caljon, G, Gilbert, IH, Corpas-Lopez, V, Lukac, I, Patterson, S, Zuccotto, F and Wyllie, S (2021). DNDI-6148: A Novel Benzoxaborole Preclinical Candidate for the Treatment of Visceral Leishmaniasis. [Data Collection]. ACS Publications, Washington, DC, USA. https://doi.org/10.1021/acs.jmedchem.1c01437.s004

1 November 2021

Borghi, J, Binyaruka, P, Mayumana, I, Lange, S, Somville, V and Maestad, O (2021). Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5636645

7 November 2021

Barasa, E, Musiega, A, Hanson, K, Nyawira, L, Mulwa, A, Molyneux, S, Maina, I, Tsofa, B, Normand, C and Jemutai, J (2021). Additional file 1 of Level and determinants of county health system technical efficiency in Kenya: two stage data envelopment analysis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17132986.v1

9 November 2021

Stubbs, T, Kentikelenis, A, Stuckler, D, Mckee, M and King, L (2021). Replication Data for: "The impact of IMF conditionality on government health expenditure: A cross-national analysis of 16 West African nations". [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BCMAV5

10 November 2021

Damilola R. Oresegun, Peter Thorpe, Benavente, E, Campino, S, Fauzi Muh, Moon, RW, Clark, T and Cox-Singh, J (2021). Getting close to nature – Plasmodium knowlesi reference genome sequences from contemporary clinical isolates. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5598263

11 November 2021

Amoah, J, Said, S, Rampal, L, Manaf, R, Ibrahim, N, Owusu-Agyei, S and Poku Asante, K (2021). Effects of a school-based intervention to reduce cardiovascular disease risk factors among secondary school students: A cluster-randomized, controlled trial. Working dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0259581.s003

12 November 2021

Caruso, B, Sclar, GD, Routray, P, Nagel, CL, Majorin, F, Sola, S, Koehne, W and Clasen, TF (2021). Low-Cost Behaviour Change Interventions to Improve Latrine Use and Safe Child Faeces Disposal in Rural Odisha, India. [Data Collection]. OSF. https://osf.io/bewpz/

15 November 2021

Shulman, CE, Dorman, EK, Cutts, F, Kawuondo, K, Bulmer, JN, Peshu, N and Marsh, K (2021). Replication Data for: Malaria in pregnancy: adverse effects on haemoglobin levels and birthweight in primigravidae and multigravidae. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/HP1JYJ

17 November 2021

Rosello, A, Abbott, S and Barnard, RC (2021). rmjlros/COVID19_care_home_NPIs. [Data Collection]. Github. https://github.com/rmjlros/COVID19_care_home_NPIs

18 November 2021

Lee, SA, Economou, T, de Castro Catão, R, Barcellos, C and Lowe, R (2021). Data and R code to accompany 'The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil' (version 1.0.0). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5710715

19 November 2021

Cunha, MG, Silva, ES, Sepúlveda, N, Costa, SPT, Saboia, TC, Guerreiro, JF, Póvoa, MM, Corran, PH, Riley, E and Drakeley, CJ (2021). Serologically Defined Variations in Malaria Endemicity in Pará State, Brazil. Supplementary dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0260513.s001

23 November 2021

Gibb, R and Mollentze, N (2021). rorygibb/pathogen_discovery: Viral discovery Biology Letters code. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5714490

25 November 2021

Zhu, J, Zhao, H, Chen, D, Tse, LA, Kinra, S and Li, Y (2021). DataSheet_1_Genetic Correlation and Bidirectional Causal Association Between Type 2 Diabetes and Pulmonary Function.xlsx. [Data Collection]. Frontiers. https://doi.org/10.3389/fendo.2021.777487.s001

Fischer, N, Darmstadt, GL, Shahunja, K, Crowther, JM, Kendall, L, Gibson, RA, Ahmed, T and Relman, DA (2021). Dataset and R code for article "Topical emollient therapy with sunflower seed oil alters the skin microbiota of young children with severe acute malnutrition in Bangladesh: a randomised, controlled study". [Data Collection]. Stanford Digital Repository. https://purl.stanford.edu/dk954yp6586

27 November 2021

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for South Africa Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/17XS9I

29 November 2021

Abotsi, RE, Nicol, MP, McHugh, G, Simms, V, Rehman, AM, Barthus, C, Ngwira, LG, Kwambana-Adams, B, Heyderman, RS, Odland, JØ, Ferrand, RA and Dube, FS (2021). Data from: The impact of long-term azithromycin on antibiotic resistance in HIV-associated chronic lung disease. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.5dv41ns71

30 November 2021

Springmann, M and Freund, F (2021). Supplementary data to "Options for reforming agricultural subsidies from health, climate, and economic perspectives". [Data Collection]. Oxford University Research Archive, Oxford, United Kingdom. https://doi.org/10.5287/bodleian:QmzkJxaYZ

1 December 2021

Evans, B and Jombart, T (2021). Analysis of changes in worldwide routine immunisation coverage in 2020. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5746754

2 December 2021

Soremekun, O, Soremekun, C, Machipisa, T, Soliman, M, Nashiru, O, Chikowore, T and Fatumo, S (2021). Genome-Wide Association and Mendelian Randomization Analysis Reveal the Causal Relationship Between White Blood Cell Subtypes and Asthma in Africans. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.3389/fgene.2021.749415.s001

Smith, KG, Scheelbeek, P, Balmford, A and Garnett, EE (2021). Research data supporting "Discrepancies between two long-term dietary datasets in the United Kingdom (UK)". [Data Collection]. University of Cambridge, Cambridge, United Kingdom. https://doi.org/10.17863/CAM.78207

6 December 2021

Quinn, AK, Williams, KN, Thompson, LM, Harvey, SA, Piedrahita, R, Wang, J, Quinn, C, Pillarisetti, A, McCracken, JP, Rosenthal, JP, Kirby, MA, Diaz Artiga, A, Thangavel, G, Rosa, G, Miranda, JJ, Checkley, W, Peel, JL and Clasen, TF (2021). Replication Data for: Fidelity and Adherence to a Liquefied Petroleum Gas Stove and Fuel Intervention during Gestation: The Multi-Country Household Air Pollution Intervention Network (HAPIN) Randomized Controlled Trial. [Data Collection]. UNC Dataverse. https://doi.org/10.15139/S3/9DDEAW

8 December 2021

Nyaguthii, DM, Otieno, GP, Kombe, IK, Koech, D, Mutunga, M, Medley, GF, Nokes, DJ and Munywoki, PK (2021). Replication Data for: Infection patterns of endemic human coronaviruses in rural households in coastal Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CPJ9B4

9 December 2021

Malla, L, Langat, R and Akech, S (2021). CIN paediatric admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/C0CDP9

Lindsey, BB, Villabona-Arenas, CJ, Atkins, KE and Campbell, F (2021). Chjulian/sheffield_HT: Characterising within-hospital SARS-CoV-2 transmission events. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5769865

Holt, KE, Gorrie, C and Wyres, K (2021). Genome assemblies and pan-genome data for 328 clinical isolates of Klebsiella pneumoniae species complex, representing one year of infections diagnosed in a hospital diagnostic lab. [Data Collection]. Monash University. https://doi.org/10.26180/16811344

10 December 2021

Chapman, LAC, Barnard, RC, Russell, TW, Abbott, S, Van Zandvoort, K, Davies, NG and Kucharski, AJ (2021). Unexposed populations and potential COVID-19 burden in European countries as of 21st November 2021. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5772162

12 December 2021

Walls, H (2021). MalawiFoodSystems_Discrete_choice_experiment. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/YKVPR8

Walls, H (2021). MalawiFoodSystems_Food_market_survey. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/NSAK0H

17 December 2021

Grant-McAuley, W, Klock, E, Laeyendecker, O, Piwowar-Manning, E, Wilson, E, Clarke, W, Breaud, A, Moore, A, Ayles, H, Kosloff, B, Shanaube, K, Bock, P, Mandla, N, van Deventer, A, Fidler, S, Donnell, D, Hayes, R and Eshleman, SH (2021). Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). Minimum dataset, seroconverters. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0258644.s004

20 December 2021

Rasoanaivo, TF, Bourner, J, Randriamparany, RN, Gamana, TM, Andrianaivoarimanana, V, Raherivelo, MH, Randriamampionona, H, Rajerison, M, Raberahona, M, Salam, AP, Edwards, T, Olliaro, PL and Randremanana, RV (2021). Data for: "The impact of COVID-19 on clinical research for Neglected Tropical Diseases (NTDs): A case study of bubonic plague". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010064.s001

Harris, RC, Quaife, M, Weerasuriya, CK, Gomez, GB, Sumner, T, Bozzani, F and White, RG (2021). lshtm-tbmg/natcomms-m72sa: Nat Comms - code. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5793302

21 December 2021

Udosen, B, Soremekun, O, Ekenna, C, Idowu Omotuyi, O, Chikowore, T, Nashiru, O and Fatumo, S (2021). Additional file 1 of In-silico analysis reveals druggable single nucleotide polymorphisms in angiotensin 1 converting enzyme involved in the onset of blood pressure. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17305518.v1

22 December 2021

Abbott, S, Sherratt, K and Funk, S (2021). Real-time estimation of the time-varying transmission advantage of Omicron in England using S-Gene Target Status as a Proxy. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5799135

Rubio, FJ, Alvares, D, Redondo-Sanchez, D and Luque-fernandez, MA (2021). migariane/BayesVarImpComorbiCancer. [Data Collection]. Github. https://github.com/migariane/BayesVarImpComorbiCancer

24 December 2021

Gibson, AJ, Passmore, IJ, Faulkner, V, Xia, D, Nobeli, I, Stiens, J, Willcocks, S, Clark, TG, Sobkowiak, B, Werling, D, Villarreal-Ramos, B, Wren, BW and Kendall, SL (2021). Table_1_Probing Differences in Gene Essentiality Between the Human and Animal Adapted Lineages of the Mycobacterium tuberculosis Complex Using TnSeq.XLSX. [Data Collection]. Frontiers. https://doi.org/10.3389/fvets.2021.760717.s002

1 January 2022

Mndeme, F (2022). Rapid Assessment of Avoidable Blindness Dataset: Tanzania, Kilimanjaro (2022). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.7ba2a0bb-4d30-4672-9432-f100a910d6cb.

7 January 2022

Pickering, H, Hart, JD, Burr, S, Stabler, R, Maleta, K, Kalua, K, Bailey, RL and Holland, MJ (2022). Additional file 1 of Impact of azithromycin mass drug administration on the antibiotic-resistant gut microbiome in children: a randomized, controlled trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17982643.v1

13 January 2022

Simões, ML, Dong, Y, Mlambo, G and Dimopoulos, G (2022). C-type lectin 4 regulates broad-spectrum melanization-based refractoriness to malaria parasites. The underlying data for all graphs. [Data Collection]. PLOS Biology. https://doi.org/10.1371/journal.pbio.3001515.s012

24 January 2022

Wick, RR and Holt, KE (2022). Assembly and polishing details for the real-read tests. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s020

Wick, RR and Holt, KE (2022). Confusion matrices for the simulated-read tests. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s017

Wick, RR and Holt, KE (2022). Predictors of assembly quality. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s018

25 January 2022

Malawi Epidemiology and Intervention research Unit and London School of Hygiene and Tropical Medicine (2022). ALPHA HIV Incidence and Mortality Data 2002-2017, Karonga, Malawi. [Data Collection]. DataFirst, Cape Town, South Africa. https://doi.org/10.25828/wcty-q497

1 February 2022

Dadari, I and Usuf, E (2022). Medicines wastage data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000181.s001

Ferguson-Gow, H, Nicholas, O, Outhwaitte, CL, Green, R, Scheelbeek, P, Eustacio Colombo, P, Wheeler, A, Taylor, A, Dangour, AD, Mace, G and Pearson, RG (2022). Potential for positive biodiversity outcomes under diet-driven land use change in Great Britain. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5939213

2 February 2022

Baik, D, Reinsma, K, Young, MF, Chhea, C, Heang, H and Oy, S (2022). Positive Deviance Hearth mHealth Qualitative Research Tools. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13524170.v2

7 February 2022

Mulick, A (2022). amulick/MCEE-u5mort2019. [Data Collection]. Github. https://github.com/amulick/MCEE-u5mort2019

8 February 2022

Pung, R (2022). rachaelpung/cruise_networks. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6009026

9 February 2022

Gitonga, CW, Noor, AM, Brooker, SJ and Snow, RW (2022). Nationwide school health surveys 2009-2010 in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UQLTO5

10 February 2022

Rojas de Arias, A, Messenger, LA, Rolon, M, Vega, MC, Acosta, N, Villalba, C and Marcet, PL (2022). Cytochrome B sequences used for phylogenetic network analysis. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0263465.s002

Williams, J (2022). jackrdwilliams/CRASH-Mild-Model. [Data Collection]. Github. https://github.com/jackrdwilliams/CRASH-Mild-Model

15 February 2022

Govender, I (2022). Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care:a whole systems approach. [Data Collection]. AHRI Data Repository. https://doi.org/10.23664/AHRI.UmoyaOmuhle.Datasets

17 February 2022

Eccleston, RC, Manko, E, Campino, S, Clark, TG and Furnham, N (2022). A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6122329

22 February 2022

Stangl, AL, Pliakas, T, Izazola-Licea, JA, Ayala, G, Beattie, TS, Ferguson, L, Orza, L, Mathur, S, Pulerwitz, J, Iovita, A and Bendaud, V (2022). S1 Data - Removing the societal and legal impediments to the HIV response: An evidence-based framework for 2025 and beyond. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0264249.s008

23 February 2022

Wamae, K, Ndwiga, L, Kharabora, O, Kimenyi, KM, Osoti, V, de Laurent, ZR, Wambua, J, Musyoki, J, Ngetsa, C, Kalume, P, Mwambingu, G, Hamaluba, M, van der Pluijm, RW, Dondorp, AM, Bailey, JA, Juliano, JJ, Bejon, P and Ochola-Oyier, LI (2022). Targeted Amplicon deep sequencing of ama1 and mdr1 to track within-host P. falciparum diversity in Kilifi, KENYA. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6243928

25 February 2022

Saeed, DK, Shakoor, S, Razzak, SA, Hasan, Z, Sabzwari, SF, Azizullah, Z, Kanji, A, Nasir, A, Shafiq, S, Ghanchi, NK and Hasan, R (2022). Variants associated with Bedaquiline (BDQ) resistance identified in Rv0678 and efflux pump genes in Mycobacterium tuberculosis isolates from BDQ naïve TB patients in Pakistan. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.5861725.v1

28 February 2022

Motuma, A, Regassa, LD, Gobena, T, Teji Roba, K, Berhane, Y and Worku, A (2022). Almost all working adults have at least one risk factor for non-communicable diseases: Survey of working adults in Eastern Ethiopia. S1 Dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0264698.s001

1 March 2022

Gimma, A, Munday, JD, Wong, KLM, Coletti, P, Van Zandvoort, K, Prem, K, Klepac, P, Rubin, GJ, Funk, S, Edmunds, WJ and Jarvis, CI (2022). Mean contacts by age and date. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1003907.s015

16 March 2022

Finch, E and Kucharski, AJ (2022). EmilieFinch/covid-reinfection. [Data Collection]. Github. https://github.com/EmilieFinch/covid-reinfection

18 March 2022

Ruiz Cuenca, P, Key, S, Lindblade, KA, Vythilingam, I, Drakeley, C and Fornace, K (2022). Additional file 2 of Is there evidence of sustained human-mosquito-human transmission of the zoonotic malaria Plasmodium knowlesi? A systematic literature review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19380993.v1

Ruiz Cuenca, P, Key, S, Lindblade, KA, Vythilingam, I, Drakeley, C and Fornace, K (2022). Additional file 3 of Is there evidence of sustained human-mosquito-human transmission of the zoonotic malaria Plasmodium knowlesi? A systematic literature review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19380996.v1

Ruiz Cuenca, P, Key, S, Lindblade, KA, Vythilingam, I, Drakeley, C and Fornace, K (2022). Additional file 4 of Is there evidence of sustained human-mosquito-human transmission of the zoonotic malaria Plasmodium knowlesi? A systematic literature review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19380999.v1

Smith, A, Wall, RJ, Patterson, S, Rowan, T, Rico Vidal, E, Stojanovski, L, Huggett, M, Hampton, SE, Thomas, MG, Corpas Lopez, V, Gillingwater, K, Duke, J, Napier, G, Peter, R, Vitouley, HS, Harrison, JR, Milne, R, Jeacock, L, Baker, N, Davis, SH, Simeons, F, Riley, J, Horn, D, Brun, R, Zuccotto, F, Witty, MJ, Wyllie, S, Read, KD and Gilbert, IH (2022). Repositioning of a Diaminothiazole Series Confirmed to Target the Cyclin-Dependent Kinase CRK12 for Use in the Treatment of African Animal Trypanosomiasis. [Data Collection]. ACS Publications. https://doi.org/10.1021/acs.jmedchem.1c02104.s003

20 March 2022

Martin, JL, Messenger, LA, Mosha, FW, Lukole, E, Mosha, JF, Kulkarni, M, Churcher, TS, Sherrard-Smith, E, Manjurano, A, Protopopoff, N and Rowland, M (2022). Supporting files for: "Durability of three types of dual active ingredient long-lasting insecticidal net compared to a pyrethroid-only LLIN in Tanzania: methodology for a prospective cohort study nested in a cluster randomized controlled trial". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002833.

21 March 2022

Beiras, CG, Marks, M, Quintó, L, Gavilán, S, Kolmau, R, Ubals, M, Vall-Mayans, M and Mitjà, O (2022). Dataset of active ulcer cases included in the analysis. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010197.s001

22 March 2022

Alcayna, T, Fletcher, I, Gibb, R, Tremblay, L, Funk, S, Rao, B and Lowe, R (2022). Supplementary Material: Climate-sensitive disease outbreaks in the aftermath of extreme climatic events: a scoping review. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6376135

Green, N, Agossa, F, Yovogan, B, Oxborough, R, Kitau, J, Müller, P, Constant, E, Rowland, M, Tchacaya, EFS, Benjamin, KG, Churcher, TS, Betancourt, M and Sherrard-Smith, E (2022). An evidence synthesis approach for combining different data sources illustrated using entomological efficacy of insecticides for indoor residual spraying. Datasets for analyses. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0263446.s001

28 March 2022

Dyson, ZA, Malau, E, Horwood, PF, Ford, R, Siba, V, Yoannes, M, Pomat, W, Passey, M, Judd, LM, Ingle, DJ, Williamson, DA, Dougan, G, Greenhill, AR and Holt, KE (2022). Excluded repeat and phage regions in PNG MDUST348 2.1.7.2 completed reference sequence. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010306.s006

Dyson, ZA, Malau, E, Horwood, PF, Ford, R, Siba, V, Yoannes, M, Pomat, W, Passey, M, Judd, LM, Ingle, DJ, Williamson, DA, Dougan, G, Greenhill, AR and Holt, KE (2022). Outgroups used for phylogenetic tree rooting. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010306.s007

Funk, S (2022). epiforecasts/ons_severity_estimates. [Data Collection]. Github. https://github.com/epiforecasts/ons_severity_estimates

29 March 2022

Barreaux, P, Koella, JC, N'guessan, R and Thomas, MB (2022). Use of novel lab assays to examine the effect of pyrethroid-treated bed nets on blood-feeding success and longevity of highly insecticide-resistant Anopheles gambiae s.l. mosquitoes. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.5919335.v1

30 March 2022

Morhason-Bello, IO, Baisley, K, Pavon, MA, Adewole, IF, Bakare, RA, de Sanjosé, S, Francis, SC and Watson-jones, D (2022). Concordance of genotype specific HPV infections across the four anatomic sites. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0265269.s004

31 March 2022

Ndlangisa, KM, du Plessis, M, Lo, S, de Gouveia, L, Chaguza, C, Antonio, M, Kwambana-Adams, B, Cornick, J, Everett, DB, Dagan, R, Hawkins, PA, Beall, B, Corso, A, Grassi Almeida, SC, Ochoa, TJ, Obaro, S, Shakoor, S, Donkor, ES, Gladstone, RA, Ho, PL, Paragi, M, Doiphode, S, Srifuengfung, S, Ford, R, Moïsi, J, Saha, SK, Bigogo, G, Sigauque, B, Eser, Özgen Köseoglu, Elmdaghri, N, Titov, L, Turner, P, Kumar, KLR, Kandasamy, R, Egorova, E, IP, M, Breiman, RF, Klugman, KP, McGee, L, Bentley, SD and von Gottberg, A (2022). A Streptococcus pneumoniae lineage usually associated with pneumococcal conjugate vaccine (PCV) serotypes is the most common cause of serotype 35B invasive disease in South Africa, following routine use of PCV. [Data Collection]. Microbiology Society. https://doi.org/10.6084/m9.figshare.16621984.v1

actions-user, Sherratt, K, Gruson, H, Funk, S, Bracher, J, BIOCOM-SC, Walraven, R, miraanto, h-veronika, Rodiah, I, gr3gr3, Kraus, D, hgurung-iem, epiforecasts-bot, Xu, FT, Heyder, S, aniruddhadiga, Abbott, S, Sun, T, Mingio, M, Deuschel, J, pmontman, janezz25, neele-itwm, Gibson, G, EpiGraph, Tarantino, B, Karlen, D, Bhatia, S and borjarv (2022). covid19-forecast-hub-europe/covid19-forecast-hub-europe. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6401421

4 April 2022

Liu, Y (2022). yangclaraliu/COVID_Vac_Delay. [Data Collection]. Github. https://github.com/yangclaraliu/COVID_Vac_Delay

7 April 2022

Pierret, A, Ribolzi, O, Pongmala, K, Oliva, P, Pando, A, Davong, V, Rattanavong, S, Silvera, N, Luangraj, M, Boithias, L, Xayyathip, K, Menjot, L, Macouin, M, Rochelle-Newall, E, Robain, H, Vongvixay, A, Simpson, AJH and Dance, DAB (2022). Distribution of Burkholderia pseudomallei and soil properties within a 300-cm deep profile. [Data Collection]. DataSuds. https://doi.org/10.23708/L3IJGD

12 April 2022

Kibondo, UA, Odufuwa, OG, Ngonyani, SH, Mpelepele, AB, Matanilla, I, Ngonyani, H, Makungwa, NO, Mseka, AP, Swai, K, Ntabaliba, W, Stutz, S, Austin, JW and Moore, SJ (2022). Additional file 3 of Influence of testing modality on bioefficacy for the evaluation of Interceptor® G2 mosquito nets to combat malaria mosquitoes in Tanzania. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19582050.v1

13 April 2022

Endo, A (2022). akira-endo/reanalysis_Fukumoto2021: 'Not finding causal effect' is not 'finding no causal effect' of school closure on COVID-19. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6457915

18 April 2022

Fongnikin, A, Odjo, A, Akpi, J, Kiki, L and Ngufor, C (2022). Detailed experimental hut data against wild free-flying pyrethroid resistant An gambiae s.l. in Cove, Benin. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0267229.s001

19 April 2022

Messenger, LA and Pelloquin, B (2022). Code for analysis of mosquito microbiota data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4548775

Gasparrini, A (2022). gasparrini/Extended2stage. [Data Collection]. Github. https://github.com/gasparrini/Extended2stage

20 April 2022

Robert, A (2022). alxsrobert/evd-transmission-trees. [Data Collection]. Github. https://github.com/alxsrobert/evd-transmission-trees

21 April 2022

Tandon, R, Vashist, P, Gupta, N, Gupta, V, Yadav, S, Deka, D, Singh, S, Vishwanath, K and Murthy, G (2022). ICMR_Pterygium_Study_Data.csv. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19626003.v1

Tazare, J and Walker, A (2022). opensafely/post-covid-outcomes-research. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6475807

25 April 2022

Mcharo, R (2022). STIs prevalence among young adults aged 18-24years in Mbeya-Tanzania. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19093115.v3

30 April 2022

Oliphant, N, Ray, N, Curtis, A, Musa, E, Sesay, M, Kandeh, J, Kamara, A, Chimoun, EFT, Jackson, D and Doherty, T (2022). Supplementary appendix 1b of Oliphant NP, Ray N, Curtis A et al. Optimizing scale and deployment of CHWs in Sierra Leone: a geospatial analysis. 2021. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5712134

2 May 2022

Han, Q, Zheng, B, Abakoumkin, G, Leander, NP and Stroebe, W (2022). PsyCorona Dataset. [Data Collection]. DataverseNL, The Netherlands. https://doi.org/10.34894/PX5IVZ

4 May 2022

Biggs, J, Sy, AK, Ashall, J, Santoso, MS, Brady, OJ, Reyes, MAJ, Quinones, MA, Jones-Warner, W, Tandoc, AO, Sucaldito, NL, Huynh, KM, Le, TL, Hung, DT, Nguyen, HAT, Dang, DA, Iwasaki, C, Kitamura, N, Van Loock, M, Herrera-Taracena, G, Menten, J, Rasschaert, F, Van Wesenbeeck, L, Masyeni, S, Haryanto, S, Yohan, B, Cutiongco-de la Paz, E, Yoshida, L, Hue, S, Capeding, MRZ, Padilla, CD, Sasmono, RT, Hafalla, JCR and Hibberd, ML (2022). Demographic characteristics of the reporting study population at enrolment. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010365.s002

Biggs, J, Sy, AK, Ashall, J, Santoso, MS, Brady, OJ, Reyes, MAJ, Quinones, MA, Jones-Warner, W, Tandoc, AO, Sucaldito, NL, Huynh, KM, Le, TL, Hung, DT, Nguyen, HAT, Dang, DA, Iwasaki, C, Kitamura, N, Van Loock, M, Herrera-Taracena, G, Menten, J, Rasschaert, F, Van Wesenbeeck, L, Masyeni, S, Haryanto, S, Yohan, B, Cutiongco-de la Paz, E, Yoshida, L, Hue, S, Capeding, MRZ, Padilla, CD, Sasmono, RT, Hafalla, JCR and Hibberd, ML (2022). Sensitivity (95%CI) of NS1 RDTs in capturing DENV1-4 infections stratified by immune status among patients from Vietnam (N:1,217). [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010365.s003

8 May 2022

Ross, I (2022). Effectiveness of handwashing on ARI. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/3EF5Y

9 May 2022

Benest, J, Rhodes, S, Evans, TG and White, RG (2022). ISIDLSHTM/Model_Size_Selection. [Data Collection]. Github. https://github.com/ISIDLSHTM/Model_Size_Selection

10 May 2022

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Estonia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535312

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Hungary). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535343

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Slovakia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535356

12 May 2022

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Lithuania). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6542667

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Switzerland). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6542656

Semieniuk, G, Holden, PB, Mercure, J, Salas, P, Pollitt, H, Jobson, K, Vercoulen, P, Chewpreecha, U, Edwards, NR and Viñuales, JE (2022). Figure data and model used in Stranded fossil-fuel assets translate to major losses for investors in advanced economies. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6347121

18 May 2022

Zhu, K, Suttner, B, Knee, J, Capone, D, Moe, CL, Stauber, CE, Konstantinidis, KT, Wallach, TE, Pickering, AJ and Brown, J (2022). Elevated Fecal Mitochondrial DNA from Symptomatic Norovirus Infections Suggests Potential Health Relevance of Human Mitochondrial DNA in Fecal Source Tracking. [Data Collection]. ACS Publications. https://doi.org/10.1021/acs.estlett.2c00140.s002

19 May 2022

Bonnet, G, Pizzitutti, F, Gonzales-Gustavson, EA, Gabriël, S, Pan, WK, Garcia, HH, Bustos, JA, Vilchez, P and O’Neal, SE (2022). Dataset for calcified NCC (Matapalo area villages). [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010118.s006

Bonnet, G, Pizzitutti, F, Gonzales-Gustavson, EA, Gabriël, S, Pan, WK, Garcia, HH, Bustos, JA, Vilchez, P and O’Neal, SE (2022). Dataset for epilepsy figures (Tumbes region). [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010118.s005

23 May 2022

Oresegun, DR, Thorpe, P, Benavente, ED, Campino, S, Muh, F, Moon, RW, Clark, TG and Cox-Singh, J (2022). De Novo Assembly of Plasmodium knowlesi Genomes From Clinical Samples Explains the Counterintuitive Intrachromosomal Organization of Variant SICAvar and kir Multiple Gene Family Members. [Data Collection]. Frontiers. https://doi.org/10.3389/fgene.2022.855052.s001

25 May 2022

Saito, N, Solante, RM, Guzman, FD, Telan, EO, Umipig, DV, Calayo, JP, Frayco, CH, Lazaro, JC, Ribo, MR, Dimapilis, AQ, Dimapilis, VO, Villanueva, AM, Mauhay, JL, Suzuki, M, Yasunami, M, Koizumi, N, Kitashoji, E, Sakashita, K, Yasuda, I, Nishiyama, A, Smith, C, Ariyoshi, K and Parry, CM (2022). A prospective observational study of community-acquired bacterial bloodstream infections in Metro Manila, the Philippines. Data file of the study. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010414.s003

31 May 2022

Gibson, AJ, Stiens, J, Passmore, IJ, Faulkner, V, Miculob, J, Willcocks, S, Coad, M, Berg, S, Werling, D, Wren, BW, Nobeli, I, Villarreal-Ramos, B and Kendall, SL (2022). Defining the genes required for survival of Mycobacterium bovis in the bovine host offers novel insights into the genetic basis of survival of pathogenic mycobacteria. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6598445

Wick, R, kelwyres and Holt, KE (2022). katholt/Kaptive. [Data Collection]. Github. https://github.com/katholt/Kaptive

1 June 2022

Bacigalupo, S, Ruby Chang, Y, Dixon, L, Gubbins, S, Kucharski, AJ and Drewe, J (2022). The importance of fine-scale predictors of wild boar habitat use in an isolated population. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.4mw6m90cx