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Data Collection

Okpako, O, Herrick, C and Millington, J (2021). Database of non-communicable disease reports contributing to UN high-level meeting process (2000-2020). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5236439

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 Admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/0NYGXE

Sera, F, Abbott, S and Roye, D (2021). fsera/COVIDWeather. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.5281/zenodo.5215841

Kazibwe, J, Tran, PB and Annerstedt, KS (2021). Additional file 1 of The household financial burden of non-communicable diseases in low- and middle-income countries: a systematic review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14820890.v1

Gibbs, H, Waterlow, NR, Cheshire, J, Danon, L, Liu, Y, Grundy, C, Kucharski, AJ and Eggo, RM (2021). Population disruption: estimating changes in population distribution in the UK during the COVID-19 pandemic - Estimates for Local Authority Districts. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5013619

Koltai, M (2021). mbkoltai/covid_lmic_model. [Data Collection]. Github. https://github.com/mbkoltai/covid_lmic_model/

Berrang-Ford, L, Sietsma, AJ, Callaghan, M, Minx, J, Scheelbeek, P, Haddaway, N, Haines, A and Dangour, AD (2021). Dataset for article Berrang-Ford et al. "Systematic mapping of global research on climate and health using machine learning" The Lancet Planetary Health. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4972514

Samuels, THA, Shete, PB, Ojok, C, Nalugwa, T, Farr, K, Turyahabwe, S, Katamba, A, Cattamanchi, A and Moore, DAJ (2021). Where will it end? Pathways to care and catastrophic costs following negative TB evaluation in Uganda. Raw data for analysis. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0253927.s005

Bosse, N (2021). nikosbosse/mirmeth: Alpha version. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4968864

Leclerc, QJ (2021). qleclerc/COVID_bed_occupancy. [Data Collection]. Github. https://github.com/qleclerc/COVID_bed_occupancy

Gimma, A (2021). amygimma/comix_uk_summary_analysis. [Data Collection]. Github. https://github.com/amygimma/comix_uk_summary_analysis

Prem, K (2021). kieshaprem/nsum: Release of NSUM codes version 1.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4889457

Countdown to 2030 Health Financing Data Analysis Centre (2021). Aid for reproductive, maternal, newborn and child health: data generated using the Muskoka2 method, 2002-2019. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002272.

Anywaine, Z, Lule, SA, Hansen, C, Warimwe, G and Elliott, A (2021). Study investigating the clinical manifestations of Rift Valley fever in humans: Systematic review and meta-analysis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002178.

Bracher, J, Wolffram, D, Deuschel, J, Görgen, K, Ketterer, J, Ullrich, A, Abbott, S, Barbarossa, M, Bertsimas, D, Bhatia, S, Bodych, M, Bosse, NI, Burgard, J, Castro, L, Fairchild, G, Fuhrmann, J, Funk, S, Gogolewski, K, Gu, Q, Heyder, S, Hotz, T, Kheifetz, Y, Kirsten, H, Krueger, T, Krymova, E, Li, M, Meinke, J, Michaud, I, Niedzielewski, K, Ożański, T, Rakowski, F, Scholz, M, Soni, S, Srivastava, A, Zieliński, J, Zou, D, Gneiting, T and Schienle, M (2021). KITmetricslab/covid19-forecast-hub-de. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4439666

Parker, E (2021). vac-lshtm/VaC_tracker. [Data Collection]. Github. https://github.com/vac-lshtm/VaC_tracker

Colón-González, FJ, Soares Bastos, L, Hofmann, B, Hopkin, A, Harpham, Q, Crocker, T, Amato, R, Ferrario, I, Moschini, F, James, S, Malde, S, Ainscoe, E, Sinh Nam, V, Quang Tan, D, Duc Khoa, N, Harrison, M, Tsarouchi, G, Lumbroso, D, Brady, OJ and Lowe, R (2021). R code for the paper "Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4740093

Goncalves, B (2021). Data for: "Estimation of country-level incidence of early-onset invasive Group B Streptococcus disease in infants using Bayesian methods". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002118.

Pearson, CAB (2021). cmmid/covidTestVac. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4725814

Krauer, F and Schmid, BV (2021). Datasets and code for "Mapping the plague through natural language processing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4724015

Lee, SA (2021). Data and R code to accompany 'Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4706865

Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, van Zandvoort, K, Funk, S and Edmunds, WJ (2021). CoMix - Age structured contact matrices for 9 key periods of the COVID-19 epidemic in England. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4677018

Schultze, A, Hulme, W, Davy, S, Mackenna, B, Nightingale, E and Inglesby, P (2021). opensafely/carehomes-short-data-report. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4675682

Luque-Fernandez, MA (2021). migariane/Spanish_LifeTablesByDeprivation: Spanish Abridged Life Tables by Deprivation. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4662659

Alexander, N, Carabali, M and Lim, JK (2021). Data for: "Estimating force of infection from serologic surveys with imperfect tests". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002252.

Simpson, H, Tabah, EN, Phillips, RO, Frimpong, M, Maman, I, Ampadu, E, Timothy, J, Saunderson, P, Pullan, RL and Cano, J (2021). Total area predicted suitable and population living in suitable areas for Buruli ulcer, M. ulcerans, and both, by country in African continent. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009157.s019

Simons, D, Shahab, L, Brown, J and Perski, O (2021). The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 11) - Data. [Data Collection]. Zenodo. https://doi.org/10.6084/m9.figshare.12756020.v6

Munday, JD and Jarvis, CI (2021). jdmunday/CoMix_schools_reopening. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5172069

Adetifa, IMO, Uyoga, S, Gitonga, JN, Mugo, D, Otiende, M, Nyagwange, J, Karanja, HK, Tuju, J, Wanjiku, P, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng’ang’a, W, Rombo, C, 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, Bejon, P, Ochola-Oyier, LI, Agweyu, A, Scott, JAG and Warimwe, GM (2021). Replication Data for: Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/FQUNVD

Palmer, J, Sherratt, K, Martin-Nielsen, R, Bevan, J, Gibbs, H, CMMID COVID-19 Working Group, Funk, S and Abbott, S (2021). covidregionaldata: Subnational data for COVID-19 epidemiology. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3957539

Gibbs, H, Jarvis, CI and Eggo, RM (2021). uk_tier_data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4421648

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

Besançon, L, Deforet, M, Leyrat, C, Segalas, C, Jiang, H and Masuzzo, P (2020). Open Science during the pandemic. [Data Collection]. OSF. https://osf.io/renxy/

Page, AE, Emmott, EH and Myers, S (2020). Testing the buffering hypothesis: breastfeeding problems, cessation and social support. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/74ERF

Akello, M, Coutinho, S, Mboowa, MGN, Bukirwa, V, Natukunda, A, Lubyayi, L, Nabakooza, G, Cose, S and Elliott, AM (2020). Internal monitoring within MUII-plus for research capacity development. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001938.

Scheelbeek, P (2020). Extended Data - UK’s fruit and vegetable supply increasingly dependent on imports from climate-vulnerable producing countries. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001852.

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

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

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 Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/S07EZB

Sherratt, K (2020). epiforecasts/rt-comparison-uk-public: v1.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4029074

Coletti, P, Wambua, J, Gimma, A, Willem, L, Vercruysse, S, Vanhoutte, B, Jarvis, CI, Van zandvoort, K, Edmunds, WJ, Beutels, P and Hens, N (2020). CoMix social contact data (Belgium). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4035001

Walker, J, Grint, D, Strongman, H, Eggo, RM, Peppa, M, Minassian, C, Mansfield, KE, Rentsch, C, Douglas, IJ, Mathur, R, Wong, A, Quint, JK, Andrews, N, Lopez-bernal, J, Scott, A, Ramsay, M, Smeeth, L and McDonald, H (2020). UK prevalence of risk factors for severe COVID-19 disease, by age and region: point prevalence estimates in 2019 and 2014, using electronic health records. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001833.

Simons, D, Shahab, L, Brown, J and Perski, O (2020). The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 9) - Data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12756020.v4

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). Evolution and epidemic spread of SARS-CoV-2 in Brazil. [Data Collection]. Science. https://doi.org/10.1126/science.abd2161

Russell, TW, Wu, JT, Clifford, S, CMMID COVID-19 working group, Edmunds, WJ, Kucharski, AJ and Jit, M (2020). thimotei/covid_travel_restrictions. [Data Collection]. Github. https://github.com/thimotei/covid_travel_restrictions

Leclerc, QJ, Fuller, NM, Knight, LE, Funk, S and Knight, GM (2020). COVID19 settings of transmission - collected reports database. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12173343.v5

Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ (2020). UK Colocation Dashboard. [Data Collection]. Github. https://cmmid.github.io/colocation_dashboard_cmmid/

Abbott, S, Bosse, N, DeWitt, M, Rau, A, Chateigner, A, Mareschal, S and Hellewell, J (2020). epiforecasts/EpiSoon. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746394

Abbott, S, Sherratt, K, Gibbs, H, Finger, F, Campbell, P, Hellewell, J, Barks, P, Meakin, S and Lee, H (2020). epiforecasts/NCoVUtils. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3635417

Leclerc, QJ, Nightingale, E and Abbott, S (2020). qleclerc/nhs_pathways_report. [Data Collection]. Github. https://github.com/qleclerc/nhs_pathways_report

Williamson, E, Walker, AJ, Bhaskaran, KJ, Bacon, S, Bates, C, Morton, CE, Curtis, HJ, Mehrkar, A, Evans, D, Inglesby, P, Cockburn, J, Mcdonald, HI, MacKenna, B, Tomlinson, L, Douglas, IJ, Rentsch, CT, Mathur, R, Wong, A, Grieve, R, Harrison, D, Forbes, H, Schultze, A, Croker, RT, Parry, J, Hester, F, Harper, S, Perera, R, Evans, S, Smeeth, L and Goldacre, B (2020). opensafely/risk-factors-research. [Data Collection]. Github. https://github.com/ebmdatalab/opensafely-risk-factors-research

Vaccine Centre (2020). COVID-19 vaccine development pipeline. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://vac-lshtm.shinyapps.io/ncov_vaccine_landscape/

Thomas, S (2020). COVID-19 risk group - Neurological disease codelist. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001704.

Endo, A, Abbott, S, Kucharski, AJ and Funk, S (2020). Extended data: Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3740348

Chase, R, Kerac, M, Grant, A, Manary, M, Briend, A, Opondo, C and Bailey, J (2020). Combined Protocol for Acute Malnutrition (ComPAS) Stage 1 dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001572.

Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ (2020). cmmid/covid-uk. [Data Collection]. Github. https://github.com/cmmid/covid-uk

Thindwa, D, Oxford Vaccine Group and Mujadidi, YF (2020). deusthindwa/Electronic-Data-Capture-for-Large-Scale-Typhoid-Surveillance---STRATAA: edc. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3736224

Abbott, S, Gaythorpe, KA, Imai, N and Liu, Y (2020). seabbs/CovidInterventionReview: CC0 license. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3728162

Russell, TW, Hellewell, J, Jarvis, CI, Van-Zandvoort, K, Abbott, S, Ratnayake, R, Flasche, S, Eggo, RM and Kucharski, AJ (2020). Estimating the infection and case fatality ratio for COVID-19 using age-adjusted data from the outbreak on the Diamond Princess cruise ship. [Data Collection]. Github. https://github.com/thimotei/cCFRDiamondPrincess

Dingle, A, Schaeferhoff, M, Borghi, J, Lewis Sabin, M, Arregoces, L, Martinez-alvarez, M and Pitt, C (2020). Aid for reproductive, maternal, newborn and child health: data and analysis from application of the Muskoka2 method, 2002-2017. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001526.

Russell, TW, Hellewell, J, Abbott, S, Jarvis, C, Zandvoort, Kv, Ratnayake, R, CMMID nCov working group, Flasche, S, Eggo, RM, Edmunds, WJ and Kucharski, AJ (2020). thimotei/CFR_calculation. [Data Collection]. Github. https://github.com/thimotei/CFR_calculation

Liu, Y, Funk, S and Flasche, S (2020). yangclaraliu/2019nCoV_proportion_asym: WOR Submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3709941

Hellewell, J, Abbott, S, Gimma, A, Bosse, N, Jarvis, C, Russell, T, Munday, J, Kucharski, A, Edmunds, WJ, Funk, S, Eggo, R, Sun, F, Flasche, S, Quilty, B, Davies, N, Liu, Y, Clifford, S, Klepac, P, Jit, M, Diamond, C, Gibbs, H and Van Zandvoort, K (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. [Data Collection]. Github. https://github.com/cmmid/ringbp/

Klepac, P, Kucharski, AJ, Conlan, AJ, Kissler, S, Tang, M, Fry, H and Gog, JR (2020). Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. [Data Collection]. Medrxiv. https://doi.org/10.1101/2020.02.16.20023754

Abuga, KM, Rockett, KA, Muriuki, JM, Koch, O, Nairz, M, Sirugo, G, Bejon, P, Kwiatkowski, DP, Prentice, AM and Atkinson, SH (2020). Replication Data for: Interferon-gamma polymorphisms and risk of iron deficiency and anaemia in Gambian children. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/2NKJID

Parker, E (2020). Covid 2019 tracker. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://vac-lshtm.shinyapps.io/ncov_tracker/

Carvalho, MS, Freitas, LP, Cruz, OG, Brasil, P and Bastos, LS (2020). Dengue and microcephaly cases in Brazil used in Carvalho et al. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3489427

Phelan, J and Deelder, W (2020). COVID-Profiler. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://github.com/jodyphelan/covid-profiler

Walker, D (2019). Charity Open Access Fund (COAF) expenditure report 2018-19. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.10303616

Gurdasani, D, Carstensen, T, Fatumo, S, Chen, G, Franklin, CS, Prado-Martinez, J, Bouman, H, Abascal, F, Haber, M, Tachmazidou, I, Mathieson, I, Ekoru, K, DeGorter, MK, Nsubuga, RN, Finan, C, Wheeler, E, Chen, L, Cooper, DN, Schiffels, S, Chen, Y, Ritchie, GR, Pollard, MO, Fortune, MD, Mentzer, AJ, Garrison, E, Bergström, A, Hatzikotoulas, K, Adeyemo, A, Doumatey, A, Elding, H, Wain, LV, Ehret, G, Auer, PL, Kooperberg, CL, Reiner, AP, Franceschini, N, Maher, DP, Montgomery, SB, Kadie, C, Widmer, C, Xue, Y, Seeley, J, Asiki, G, Kamali, A, Young, EH, Pomilla, C, Soranzo, N, Zeggini, E, Pirie, F, Morris, AP, Heckerman, D, Tyler-Smith, C, Motala, A, Rotimi, C, Kaleebu, P, Barroso, I and Sandhu, MS (2019). Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa. [Data Collection]. Cell. https://doi.org/10.1016/j.cell.2019.10.004

Bretscher, MT, Dahal, P, Griffin, JT, Stepniewska, K, Bassat, Q, Baudin, E, Dalessandro, U, Djimde, AA, Dorsey, G, Espie, E, Fofana, B, Gonzalez, R, Juma, E, Karema, C, Lasry, E, Lell, B, Lima, N, Menendez, C, Mombo-Ngoma, G, Moreira, C, Nikiema, F, Ouedraogo, JB, Staedke, SG, Tinto, H, Valea, I, Yeka, A, Ghani, AC, Guerin, PJ and Okell, LC (2019). A pooled analysis of the duration of chemoprophylaxis against malaria after treatment with artesunate-amodiaquine and artemether-lumefantrine: data & analysis output. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3339214

Mistry, M (2019). A high-resolution (0.25 degree) historical global gridded dataset of monthly and annual cooling and heating degree-days (1970-2018) based on GLDAS data. [Data Collection]. PANGAEA. https://doi.org/10.1594/PANGAEA.903123

Walker, D (2019). LSHTM RCUK Open Access Block Grant Compliance Report 2018-19. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.6084/m9.figshare.8089397

Blencowe, H, Krasevec, J, de Onis, M, Black, RE, An, X, Stevens, GA, Borghi, E, Hayashi, C, Estevez, D, Cegolon, L, Shiekh, S, Ponce Hardy, V, Lawn, JE and Cousens, S (2019). Supporting information for National, regional, and worldwide estimates of low birthweight rates in 2015, with trends from 2000: a systematic analysis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001090.

Lee, AH, Shannon, CP, Amenyogbe, N, Bennike, TB, Diray-Arce, J, Idoko, OT, Gill, EE, Ben-Othman, R, Pomat, WS, van Haren, SD, Cao, KL, Cox, M, Darboe, A, Falsafi, R, Ferrari, D, Harbeson, DJ, He, D, Bing, C, Hinshaw, SJ, Ndure, J, Njie-jobe, J, Pettengill, MA, Richmond, PC, Ford, R, Saleu, G, Masiria, G, Matlam, JP, Kirarock, W, Roberts, EHW, Malek, M, Sanchez-Schmitz, G, Singh, A, Angelidou, A, Smolen, KK, Brinkman, RR, Ozonoff, A, Hancock, REW, van den Biggelaar, AHJ, Steen, H, Tebbutt, SJ, Kampmann, B, Levy, O and Kollmann, TR (2019). Dynamic molecular changes during the first week of human life follow a robust developmental trajectory. [Data Collection]. Nature Communications. https://doi.org/10.1038/s41467-019-08794-x

Moyes, CL, Wiebe, A, Gleave, K, Trett, A, Hancock, PA, Padonou, GG, Chouaïbou, MS, Sovi, A, Abuelmaali, SA, Ochomo, E, Antonio-Nkondjio, C, Dengela, D, Kawada, H, Dabire, RK, Donnelly, MJ, Mbogo, C, Fornadel, C and Coleman, M (2019). Data from: Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.dn4676s

Scholz, SM, Damm, O, Elkenkamp, S, Marcus, U, Greiner, W and Schmidt, AJ (2019). Dataset containing the collected data from PlanetRomeo. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0212175.s001

Carrillo-Larco, RM and Bernabe-ortiz, A (2018). Raw data for: "A divergence between underlying and final causes of death in selected conditions: an analysis of death registries in Peru". [Data Collection]. PeerJ. https://doi.org/10.7717/peerj.5948/supp-2

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2017-18. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7280360.v2

Bah, SY, Forster, T, Dickinson, P, Kampmann, B and Ghazal, P (2018). Table 1 for "Meta-Analysis Identification of Highly Robust and Differential Immune-Metabolic Signatures of Systemic Host Response to Acute and Latent Tuberculosis in Children and Adults". [Data Collection]. Frontiers in Genetics. https://doi.org/10.3389/fgene.2018.00457.s002

Chapman, LAC, Jewell, CP, Spencer, SEF, Pellis, L, Datta, S, Chowdhury, R, Bern, C, Medley, GF and Hollingsworth, TD (2018). The role of case proximity in transmission of visceral leishmaniasis in a highly endemic village in Bangladesh. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0006453

Bobrovitz, N, Heneghan, C, Onakpoya, I, Fletcher, B, Collins, D, Tompson, A, Lee, J, Nunan, D, Fisher, R, Scott, B, O’Sullivan, J, Van Hecke, O, Nicholson, BD, Stevens, S, Roberts, N and Mahtani, KR (2018). Additional file 2: of Medications that reduce emergency hospital admissions: an overview of systematic reviews and prioritisation of treatments. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6864524.v1

Walker, D (2018). LSHTM - RCUK Article Processing Charge (APC) compliance and financial report 2017-18. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.6084/m9.figshare.6445559.v1

Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A (2018). Supplementary material from "Climate risk index for Italy". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.4052396.v2

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2013-14. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5943181

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2014-15. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5943178

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2015-16. [Data Collection]. Figshare, London, United Kingdom. https://doi.org/10.6084/m9.figshare.4253156.v4

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2016-17. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5943169

Morris, TP, Fisher, DJ, Kenward, MG and Carpenter, JR (2018). Dataset for: Meta-analysis of quantitative individual patient data: two stage or not two stage? [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5662267.v1

Weiss, DJ, Nelson, A, Gibson, HS, Temperley, W, Peedell, S, Lieber, A, Hancher, M, Poyart, E, Belchior, S, Fullman, N, Mappin, B, Dalrymple, U, Rozier, J, Lucas, TCD, Howes, RE, Tusting, LS, Kang, SY, Cameron, E, Bisanzio, D, Battle, KE, Bhatt, S and Gething, PW (2018). A global map of travel time to cities to assess inequalities in accessibility in 2015. [Data Collection]. Nature. https://doi.org/10.1038/nature25181

LSHTM Library & Archives Service (2018). Data Management for interview and focus group resources in health. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/PUBS.04646631

Lopez-Bernal, J, Lu, CY, Gasparrini, A, Cummins, S, Wharham, JF and Soumerai, SB (2017). Association between the 2012 Health and Social Care Act and specialist visits and hospitalisations in England: A controlled interrupted time series analysis. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1002427

Dennis, M, Radovich, E, Wong, K, Owolabi, O, Cavallaro, F, Mbizvo, MT, Binagwaho, A, Waiswa, P, Lynch, C and Benova, L (2017). Pathways to increased coverage: an analysis of time trends in contraceptive need and use among adolescents and young women in Kenya, Rwanda, Tanzania, and Uganda. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3907207

Tang, W, Chen, W, Amini, A, Boeras, D, Falconer, J, Kelly, H, Peeling, R, Varsaneux, O, Tucker, JD and Easterbrook, P (2017). Diagnostic accuracy of tests to detect Hepatitis C antibody: a meta-analysis and review of the literature. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3919648.v1

Liverani, M (2017). International health cooperation in the Greater Mekong Subregion. [Data Collection]. UK Data Archive, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-852820

Blencowe, H (2017). Global and regional prevalence of neural tube defects estimates in 2015: Data sources, methods and results. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.264.

Howard, N, Guinness, L and Rowland, M (2017). Economic data for the Afghan refugee malaria control programme in Pakistan 1990-1995. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.260.

Seale, AC, Bianchi-jassir, F, Russell, N, Kohli-lynch, M, Tann, C, Hall, J, Madrid, L, Blencowe, H, Cousens, S, Baker, C, Bartlett, L, Cutland, C, Gravett, M, Heath, P, Ip, M, Le Doare, K, Madhi, S, Rubens, CE, Saha, S, Schrag, S, Sobanjo-ter Meulen, A, Vekemans, J and Lawn, JE (2017). Data for: "Estimates of the Burden of Group B Streptococcal Disease Worldwide for Pregnant Women, Stillbirths, and Children". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.51.

McTavish, JR, Kimber, M, Devries, K, Colombini, M, MacGregor, JCD, Wathen, CN, Agarwal, A and MacMillan, HL (2017). Data from: Mandated reporters’ experiences with reporting child maltreatment: a meta-synthesis of qualitative studies. [Data Collection]. Dryad Digital Repository. https://doi.org/10.5061/dryad.6d159

Gibson, A (2017). LSHTM - RCUK Article Processing Charge (APC) compliance and financial report 2016-17. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5035934.v3.

Maringe, C, Fowler, H, Rachet, B and Fernandez, MAL (2017). Reproducibility, reliability and validity of population-based administrative health data for the assessment of cancer non-related comorbidities". [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0172814

Castro Lopes, S, Guerra-Arias, M, Buchan, J, Pozo-Martin, F and Nove, A (2017). A rapid review of the rate of attrition from the health workforce. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3706795

Spika, D, Bannon, F, Bonaventure, A, Woods, LM, Harewood, R, Carreira, H, Coleman, MP and Allemani, C (2017). Life tables for global surveillance of cancer survival (the CONCORD programme): data sources and methods. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3704431.

Bower, H and Glynn, J (2017). Data from: A systematic review and meta-analysis of seroprevalence surveys of ebolavirus infection. [Data Collection]. Dryad Digital Repository. https://doi.org/10.5061/dryad.gn95r.2.

Knight, G (2017). LSHTM Data Compass Statistics Report - 2016. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.132.

Kazungu, JS and Adetifa, I (2017). Replication Data for: Crude childhood vaccination coverage in West Africa: trends and predictors of completeness. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. http://dx.doi.org/10.7910/DVN/YQYES9

Gargiulo, F, Bindi, J and Apolloni, A (2016). Data from: The topology of a discussion: the #occupy case. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.q1h04

Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA (2016). Factors Affecting Access to Healthcare: An Observational Study of Children under 5 Years of Age Presenting to a Rural Gambian Primary Healthcare Centre. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0157790

Karat, A, Tlali, M, Fielding, K, Charalambous, S, Chihota, VN, Churchyard, GJ, Hanifa, Y, Johnson, S, McCarthy, K, Martinson, NA, Omar, T, Kahn, K, Chandramohan, D and Grant, AD (2016). Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: comparing verbal autopsy, minimally-invasive autopsy, and research data. Data from the Lesedi Kamoso study. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.169.

Seymour, J and Gorsky, M (2016). Health and welfare spending, health indicators and election data for London's Metropolitan Boroughs, 1922-37. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.103.

Knight, G (2016). LSHTM Data Compass Statistics Report - 2015. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.81.

Petridis, C, Brook, MN, Shah, V, Kohut, K, Gorman, P, Caneppele, M, Levi, D, Papouli, E, Orr, N, Cox, A, Cross, SS, Dos santos silva, I, Peto, J, Swerdlow, A, Schoemaker, MJ, Bolla, MK, Wang, Q, Dennis, J, Michailidou, K, Benitez, J, González-Neira, A, Tessier, DC, Vincent, D, Li, J, Figueroa, J, Kristensen, V, Borresen-Dale, A, Soucy, P, Simard, J, Milne, RL, Giles, GG, Margolin, S, Lindblom, A, Brüning, T, Brauch, H, Southey, MC, Hopper, JL, Dörk, T, Bogdanova, NV, Kabisch, M, Hamann, U, Schmutzler, RK, Meindl, A, Brenner, H, Arndt, V, Winqvist, R, Pylkäs, K, Fasching, PA, Beckmann, MW, Lubinski, J, Jakubowska, A, Mulligan, AM, Andrulis, IL, Tollenaar, Rob A. E. M., Devilee, P, Le Marchand, L, Haiman, CA, Mannermaa, A, Kosma, V, Radice, P, Peterlongo, P, Marme, F, Burwinkel, B, van Deurzen, CHM, Hollestelle, A, Miller, N, Kerin, MJ, Lambrechts, D, Floris, G, Wesseling, J, Flyger, H, Bojesen, SE, Yao, S, Ambrosone, CB, Chenevix-Trench, G, Truong, T, Guénel, P, Rudolph, A, Chang-Claude, J, Nevanlinna, H, Blomqvist, C, Czene, K, Brand, JS, Olson, JE, Couch, FJ, Dunning, AM, Hall, P, Easton, DF, Pharoah, PDP, Pinder, SE, Schmidt, MK, Tomlinson, I, Roylance, R, García-Closas, M and Sawyer, EJ (2016). Genetic predisposition to ductal carcinoma in situ of the breast. [Data Collection]. Breast Cancer Research. https://doi.org/10.1186/s13058-016-0675-7.

Wu, L, van den Hoogen, LL, Slater, H, Walker, PGT, Ghani, AC, Drakeley, CJ and Okell, LC (2015). Comparison of diagnostics for the detection of asymptomatic Plasmodium falciparum infections to inform control and elimination strategies. [Data Collection]. Nature. https://doi.org/10.1136/jech-2018-211746

Brauer, R, Bhaskaran, K, Chaturvedi, N, Dexter, DT, Smeeth, L and Douglas, I (2015). Glitazone Treatment and Incidence of Parkinson’s Disease among People with Diabetes: A Retrospective Cohort Study. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1001854

Ortega, J, Moraga-serrano, P, Nikolay, B, Rebollo, M, Okorie, P, Davies, E, Bockarie, M and Brooker, S (2015). An investigation of the disparity in estimates of microfilaraemia and antigenaemia in lymphatic filariasis surveys. [Data Collection]. Transactions of the Royal Society of Tropical Medicine and Hygiene. https://doi.org/10.1093/trstmh/trv048

Mylne, A, Brady, OJ, Huang, Z, Pigott, DM, Golding, N, Kraemer, MU and Hay, SI (2014). A comprehensive database of the geographic spread of past human Ebola outbreaks. [Data Collection]. Figshare. https://dx.doi.org/10.6084/m9.figshare.1168886

Le Polain, O, Flasche, S, Prieto, D and Edmunds, J (2014). Age-Dependent Prevalence of Nasopharyngeal Carriage of Streptococcus pneumoniae before Conjugate Vaccine Introduction: Supporting Information. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.72.

Gallacher, K, Morrison, D, Jani, B, Macdonald, S, May, CR, Montori, VM, Erwin, PJ, Batty, GD, Eton, DT, Langhorne, P and Mair, FS (2013). Uncovering Treatment Burden as a Key Concept for Stroke Care: A Systematic Review of Qualitative Research. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1001473

This list was generated on Mon Sep 20 02:19:03 2021 BST.