Items where completion year is 2022

Up a level
Export as [feed] Atom [feed] RSS
Group by: Data Creators(s) | Item Type | No Grouping
Jump to: A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | Z
Number of items: 489.

A

Abbott, S and Bosse, N (2022). epiforecasts/simplified-forecaster-evaluation. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7189308

Abbott, S and Sherratt, K (2022). seabbs/ecdc-weekly-growth-forecasts. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7189620

Abudu, R, Oliver, K and Boaz, A (2022). Additional file 2 of What funders are doing to assess the impact of their investments in health and biomedical research. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20461956.v1

Aburto, JM (2022). jmaburto/ex_USA_racial-ethnic_differences. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6402403

Afolabi, MO, Sougou, NM, Diaw, A, Sow, D, Manga, IA, Mbaye, I, Greenwood, B and Ndiaye, JLA (2022). Interview guide used to collect qualitative data from the caregivers. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000525.s001

Aghaji, A, Burchett, HED, Hameed, S and Gilbert, C (2022). Collection tools for: "Assessing the capacity of primary health care facilities in Nigeria to deliver eye health promotion: Results of a mixed-methods feasibility study". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003208.

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S1 Data for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s011

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S1 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s003

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S2 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s004

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S3 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s005

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S4 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s006

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S5 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pgph.0000599.s007

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S6 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s008

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S7 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s009

Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S8 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s010

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

Alhaffar, M, Mkhallalati, H, Alrashid Alhiraki, O, Marzouk, M, Khanshour, A, Douedari, Y and Howard, N (2022). Qualitative study of community experiences of COVID-19 response efforts across Syria: Interview question guide (Arabic and English translations). [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0277215.s001

Allel, K (2022). kasimallel/Modelling-analysing-GN-ABR-for-transmission-in-a-Chilean-semi-rural-community. [Data Collection]. Github. https://github.com/kasimallel/Modelling-analysing-GN-ABR-for-transmission-in-a-Chilean-semi-rural-community

Allel, K, Abou Jaoude, GJ, Birungi, C, Palmer, T, Skordis, J and Haghparast-Bidgoli, H (2022). Technical efficiency of national HIV/AIDS spending in 78 countries between 2010 and 2018: A data envelopment analysis. S1 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000463.s002

Allel, K, Abou Jaoude, GJ, Birungi, C, Palmer, T, Skordis, J and Haghparast-Bidgoli, H (2022). Technical efficiency of national HIV/AIDS spending in 78 countries between 2010 and 2018: A data envelopment analysis. S2 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000463.s003

Allen, DJ (2022). The impact of cognate strategy training on guessing accuracy for unknown visually-presented words: The case of Japanese learners of English. [Data Collection]. SAGE Journals. https://doi.org/10.25384/SAGE.c.6089659.v1

Andresen, K, Carreira, H and Benítez Majano, S (2022). Clinical codelist - Major colorectal surgery (OPCS). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002765.

Andresen, K, Carreira, H and Mcdonald, H (2022). Clinical codelist - Autoimmune disease (Read). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002791.

Ardissino, M, Slob, EAW, Rajasundaram, S, Reddy, RK, Woolf, B, Girling, J, Johnson, MR, Ng, FS and Gill, D (2022). Additional file 1 of Safety of beta-blocker and calcium channel blocker antihypertensive drugs in pregnancy: a Mendelian randomization study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20962281.v1

Armitage, E (2022). SpyCATS REDCap Data Dictionary. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7463051

Asi, YM, Bebasari, P, Hardy, E, Lokot, M, Meagher, K, Ogbe, E, Parray, AA, Sharma, V, Standley, CJ and Vahedi, L (2022). Additional file 1 of Assessing gender responsiveness of COVID-19 response plans for populations in conflict-affected humanitarian emergencies. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19174573.v1

Atkins, KE and Hodgson, D (2022). katiito/rsvvaccines_amr. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7185501

Atkins, S, Heimo, L, Carter, DJ, Ribas Closa, M, Vanleeuw, L, Chenciner, L, Wambi, P, Sidney-Annerstedt, K, Egere, U, Verkuijl, S, Brands, A, Masini, T, Viney, K, Wingfield, T, Lönnroth, K and Boccia, D (2022). Additional file 1 of The socioeconomic impact of tuberculosis on children and adolescents: a scoping review and conceptual framework. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21622247.v1

Avoka, CK, Banke-Thomas, A, Beňová, L, Radovich, E and Campbell, OMR (2022). Use of motorised transport and pathways to childbirth care in health facilities: Evidence from the 2018 Nigeria Demographic and Health Survey. S1 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000868.s009

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

B

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

Baiden, F, Fleck, S, Leigh, B, Ayieko, P, Tindanbil, D, Otieno, T, Lawal, B, Tehtor, M, Rogers, M, Odeny, L, Hodges, MH, Sonnie, M, Samai, M, Ishola, D, Lowe, B, Watson-jones, D and Greenwood, B (2022). Prevalence of malaria and helminth infections in rural communities in northern Sierra Leone, a baseline study to inform Ebola vaccine study protocols. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0270968.s001

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

Banke-Thomas, A (2022). Intra-facility_maternal_deaths_Lagos_2018-2019. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20098148.v1

Barnard, RC (2022). rosannaclairebarnard/covidm-mtd-Omi. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6806636

Barnsley, G and Watson, OJ (2022). mrc-ide/covid-vaccine-impact-orderly. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6539430

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

Barreto, APA, Filho, MAB, Duarte, LC, Cerqueira-Silva, T, Camelier, A, Tavares, NM, Barral-Netto, M, Boaventura, V and Lima, MCC (2022). Dataset for: Metabolic disorders and post-acute hospitalization in black/mixed-race patients with long COVID in Brazil: A cross-sectional analysis. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0276771.s011

Barrott, I, Barrett, J, Keogh, R, Sweeting, M and Stevens, D (2022). Landmarking: Analysis using Landmark Models. [Data Collection]. Comprehensive R Archive Network. https://cran.r-project.org/package=Landmarking

Basnet, B, Chapagain, P, Subedi, S, Dahal, T, Neupane, S, Khanal, R, Pinder, RJ, Lucero-Prisno, DE and Sundar Budhathoki, S (2022). Master table with thematically coded data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000322.s001

Beaumont, E (2022). Samvad Project Datasets. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002743.

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

Belesova, K, Green, R, Falconer, J, Whitmee, S and Haines, A (2022). Search strategy for "Quantifying the effectiveness and health co-benefits of climate change mitigation actions across sectors: a protocol for an umbrella review". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002761.

Benest, J (2022). ISIDLSHTM/CoBeDOA. [Data Collection]. GitHub. https://github.com/ISIDLSHTM/CoBeDOA

Benest, J (2022). ISIDLSHTM/CoBeDOA_Data. [Data Collection]. GitHub. https://github.com/ISIDLSHTM/CoBeDOA_Data

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

Bhaskaran, K, Warren-Gash, C, Banerjee, A, Davidson, J, Carreira, H, Muzambi, R, Andresen, K, Mcdonald, H, Mansfield, KE, Benítez Majano, S, Mathur, R and Smeeth, L (2022). Codelists for: "The risk of acute kidney injury in colorectal cancer survivors: An English population-based matched cohort study". [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002792.

Bhate, K (2022). Codelists for: "Long-term oral antibiotic use in people with acne vulgaris in UK primary care: a drug utilisation study". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002845.

Bhattarai, S, Adhikari, A, Rayamajhee, B, Dhungana, J, Singh, M, Koirala, S and Shakya, DR (2022). Data_Sheet_1_Participatory Approach to Develop Evidence-Based Clinical Ethics Guidelines for the Care of COVID-19 Patients: A Mixed Method Study From Nepal. [Data Collection]. Frontiers. https://doi.org/10.3389/fpubh.2022.873881.s001

Biggs, JR, 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). A summary of data collected from suspected dengue patients included in the study population from Indonesia, Vietnam and the Philippines. [Data Collection]. PLoS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010365.s001

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

Blencowe, H, Bradley, E, Lawn, JE, Ohuma, E, Okwaraji, Y, Suarez Idueta, L and Yargawa, J (2022). Vulnerable Newborn Measurement Collaboration. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003095.

Blom, IM (2022). PRISMA-P Checklist for ‘A Systematic Review Protocol for Identifying the Effectiveness of Greenhouse Gas Mitigation Interventions for Health Care Systems in Low- and Middle-Income Countries’. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002988.

Bonell, A, Badjie, J, Jammeh, S, Ali, Z, Hydara, M, Davies, A, Faal, M, Ahmed, AN, Hand, W, Prentice, AM, Murray, K and Scheelbeek, P (2022). Climate Change mitigation and adaption options in the local environment: climate change solutions festival. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/PUBS.00002767.

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

Bosse, N, Abbott, S and Funk, S (2022). epiforecasts/covid.german.forecasts. [Data Collection]. Github. https://github.com/epiforecasts/covid.german.forecasts

Bosse, N, Abbott, S, Reich, NG and Funk, S (2022). epiforecasts/scoringutils. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4618017

Briggs, A (2022). Decision Modelling for Health Economic Evaluation - Exercises. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002980.

Burke, R (2022). rachaelmburke/tbacf. [Data Collection]. Github. https://github.com/rachaelmburke/tbacf

Butcher, RMR, Mccormick, I and RAAB Team (2022). raabteam/raab7-analysis. [Data Collection]. Github. https://github.com/raabteam/raab7-analysis

C

Cadogan, S (2022). Therapy codelist - CPRD Aurum - anticoagulants. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002795.

Carreira, H and Bhaskaran, K (2022). Clinical codelist - Colorectal cancer (ICD-10). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002776.

Carvalho-Pereira, T, Eyre, MT, Zeppelini, CG, Espirito Santo, VF, Santiago, DC, Santana, R, Palma, F, Reis, M, Lustosa, R, Khalil, H, Diggle, PJ, Giorgi, E, Costa, F and Begon, M (2022). Dataset used in the assessment of the article "Basic urban services fail to neutralise environmental determinants of 'rattiness', a composite metric of rat abundance". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5920038

Cerdeira, L and Dyson, ZA (2022). zadyson/TyphiNET. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5338903

Cerqueira-Silva, T, de Araujo Oliveira, V, Paixão, ES, Júnior, JB, Penna, GO, Werneck, GL, Pearce, N, Barreto, ML, Boaventura, VS and Barral-Netto, M (2022). Duration of protection of CoronaVac plus heterologous BNT162b2 booster in the Omicron period in Brazil. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6657862

Chan, K, Tusting, LS, Bottomley, C, Saito, K and Lines, J (2022). Replication Data for: Malaria transmission and prevalence in rice-growing versus non-rice-growing villages in Africa: a systematic review and meta-analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PXF0JX

Checchi, F (2022). francescochecchi/mortality_capture_recapture_analysis. [Data Collection]. Github. https://github.com/francescochecchi/mortality_capture_recapture_analysis

Checchi, F, Frison, S and Warsame, A (2022). francescochecchi/acute_malnutrition_predictive_models. [Data Collection]. Github. https://github.com/francescochecchi/acute_malnutrition_predictive_models

Chimukuche, RS, Kawuma, R, Mahapa, N, Mkhwanazi, S, Singh, N, Siva, S, Ruzagira, E and Seeley, J (2022). Additional file 1 of Examining oral pre-exposure prophylaxis (PrEP) literacy among participants in an HIV vaccine trial preparedness cohort study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21542043.v1

Clark, R, Mukandavire, C, Weerasuriya, C, Bakker, R and White, RG (2022). TBVAX Model. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6421372

Clark, S, Calvert, C, Marston, M and Chu, Y (2022). Verbal Autopsy:Reimagining data and automated cause assignment (using ALPHA network data). [Data Collection]. Africa Health Research Institute. https://data.ahri.org/index.php/catalog/1030/

Clarke, SLN, Jones, HJ, Sharp, GC, Easey, KE, Hughes, AD, Ramanan, AV and Relton, CL (2022). Additional file 2 of Juvenile idiopathic arthritis polygenic risk scores are associated with cardiovascular phenotypes in early adulthood: a phenome-wide association study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21593823.v1

Cleary, F, Prieto-Merino, D and Nitsch, D (2022). A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records. Data extraction spreadsheet. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0264167.s008

Colelli, FP, Emmerling, J, Mistry, M, Marangoni, G and De Cian, E (2022). Additional Data and Code from "Increased energy use for adaptation significantly impacts mitigation pathways". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6603718

Coll, F (2022). francesccoll/powerbacgwas. [Data Collection]. Github. https://github.com/francesccoll/powerbacgwas/

Colvin, C, Swartz, A, Kallon, I, Kielmann, K and Macgregor, H (2022). Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Question 1 - describe IPC policy and systems context. [Data Collection]. University of Cape Town. https://doi.org/10.25375/uct.16438842.v1

Colvin, C, Swartz, A, Kallon, I, Kielmann, K and Macgregor, H (2022). Umoya omuhle: Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Questions 3 and 4_KwaZulu Natal. [Data Collection]. University of Cape Town. https://doi.org/10.25375/uct.14873202.v1

Colón-González, FDJ, Gibb, R, Khan, K, Watts, A, Lowe, R and Brady, OJ (2022). Projecting the future incidence and burden of dengue in Southeast Asia. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/85XWQ

Cotten, M (2022). mlcotten13/Measles_primers. [Data Collection]. Github. https://github.com/mlcotten13/Measles_primers

Coulibaly, A, Diop, MF, Kone, A, Dara, A, Ouattara, A, Mulder, N, Miotto, O, Diakite, M, Djimde, A and Amambua-Ngwa, A (2022). Table1_Genome-wide SNP analysis of Plasmodium falciparum shows differentiation at drug-resistance-associated loci among malaria transmission settings in southern Mali. [Data Collection]. Frontiers. https://doi.org/10.3389/fgene.2022.943445.s002

Courtin, E (2022). emiliecourtin/maternityleave. [Data Collection]. Github. https://github.com/emiliecourtin/maternityleave

Craik, A, Mayindi, N, Chipungu, S, Khoza, B, Gómez-Olivé, X and Tomlinson, LA (2022). Dataset From: Forgotten but not gone in rural South Africa: Urinary schistosomiasis and implications for chronic kidney disease screening in endemic countries. [Data Collection]. University of the Witwatersrand, Johannesburg, South Africa. https://doi.org/10.54223/uniwitwatersrand-10539-33712

D

Dadari, I, Ropiti, L, Patson, A, Okia, P, Narasia, J, Hare’e, T, Namohunu, S, Ogaoga, D, Gaiofa, J and Usuf, E (2022). An assessment of vaccine wastage in the Solomon Islands. S1 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000572.s002

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

Davidson, J (2022). Clinical codelist - CPRD Aurum - COVID-19. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002801.

Davidson, J (2022). Clinical codelist - CPRD Aurum - HIV. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002808.

Davidson, J (2022). Clinical codelist - CPRD Aurum - atrial fibrillation. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002797.

Davidson, J (2022). Clinical codelist - CPRD Aurum - major adverse cardiovascular event. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002815.

Davidson, J (2022). Clinical codelist - HES - COVID-19. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002800.

Davidson, J (2022). Clinical codelist - HES - major adverse cardiovascular event. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002816.

Davidson, J (2022). Therapy codelist - CPRD Aurum - statins. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002470.

Davidson, J (2022). jenAdavidson/sccs_fluvacc_cvd. [Data Collection]. Github. https://github.com/jenAdavidson/sccs_fluvacc_cvd

Davidson, J, Banerjee, A, Smeeth, L and Warren-Gash, C (2022). Codelists for: "Acute cardiovascular events after SARS-CoV-2 infection in England in 2020: a self-controlled case series study". [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002763.

Davidson, J, Herrett, E, Strongman, H and Gadd, S (2022). emilyherrett/qrisk_cprd_aurum: QRISK Aurum bundle version 2.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5822520

Davidson, J, Mcdonald, H, Strongman, H, Cadogan, S, Banerjee, A, Smeeth, L and Warren-Gash, C (2022). Codelists for: "Effect of cardiovascular risk profile on severe outcomes of COVID-19 in England in 2020: a population-based cohort study". [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002762.

Davidson, J and Strongman, H (2022). Clinical codelist - CPRD Aurum - Migraine. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002818.

Davidson, J and Strongman, H (2022). Clinical codelist - CPRD Aurum - chronic kidney disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002824.

Davidson, J and Strongman, H (2022). Clinical codelist - CPRD Aurum - erectile dysfunction. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002804.

Davidson, J and Strongman, H (2022). Clinical codelist - CPRD Aurum - rheumatoid arthritis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002823.

Davidson, J and Strongman, H (2022). Clinical codelist - CPRD Aurum - severe mental illness. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002826.

Davidson, J and Strongman, H (2022). Clinical codelist - CPRD Aurum - systemic lupus erythematosus. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002825.

Davidson, J and Strongman, H (2022). Therapy codelist - CPRD Aurum - antihypertensives. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002814.

Davidson, J and Strongman, H (2022). Therapy codelist - CPRD Aurum - antipsychotics. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002796.

Davidson, J and Strongman, H (2022). Therapy codelist - CPRD Aurum - corticosteroids. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002799.

Davidson, J and Strongman, H (2022). Therapy codelist - CPRD Aurum - erectile dysfunction drugs. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002805.

Davidson, J and Warren-Gash, C (2022). Clinical codelist - CPRD Aurum - chronic neurological disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002817.

Davidson, J and Warren-Gash, C (2022). Clinical codelist - CPRD Aurum - dementia. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002803.

Davidson, J and Warren-Gash, C (2022). Clinical codelist - CPRD Aurum - learning and intellectual disability. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002809.

Davidson, J and Warren-Gash, C (2022). Clinical codelist - HES - cardiovascular disease and major adverse cardiovascular events. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002802.

Davidson, J, Warren-Gash, C and McDonald, H (2022). Clinical codelist - CPRD Aurum - aplastic anaemia. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002794.

Davidson, J, Warren-Gash, C and McDonald, H (2022). Clinical codelist - CPRD Aurum - bone marrow transplant. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002798.

Davidson, J, Warren-Gash, C and Mcdonald, H (2022). Clinical codelist - CPRD Aurum - permanent immune deficiency. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002822.

Davidson, J, Warren-Gash, C and Mcdonald, H (2022). Clinical codelist - CPRD Aurum - solid organ transplant. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002827.

Davidson, J, Warren-Gash, C and Mcdonald, H (2022). Clinical codelist - CPRD Aurum - unspecified immune deficiency. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002821.

Davidson, J, Warren-Gash, C and Strongman, H (2022). Clinical codelist - CPRD Aurum - haematological cancers. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002806.

Davidson, J, Warren-Gash, C and Strongman, H (2022). Clinical codelist - CPRD Aurum - non-haematological cancers. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002819.

Davidson, J, Warren-Gash, C and Strongman, H (2022). Clinical codelist - HES - chronic liver disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002810.

Davidson, J, Warren-Gash, C and Strongman, H (2022). Clinical codelist - HES - haematological cancers. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002807.

Davidson, J, Warren-Gash, C and Strongman, H (2022). Clinical codelist - HES - non-haematological cancers. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002820.

Dewez, JE and Yeung, S (2022). Data for: “Adoption of C-reactive protein rapid tests in primary care in the Netherlands and England: a comparative health systems analysis”. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002758.

Dewez, M and Yeung, S (2022). Data for: "Availability and use of rapid diagnostic tests for the management of acute childhood infections in Europe". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003104.

Dial, N (2022). Challenges of using modelling evidence in the visceral leishmaniasis elimination programme in India. [Data Collection]. OSF. https://osf.io/ujygc/

Dobreva, Z, Gimma, A, Rohan, H, Djoudalbaye, B, Tshangela, A, Jarvis, CI, Van Zandvoort, K and Quaife, M (2022). Additional file 1 of Characterising social contacts under COVID-19 control measures in Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21316250.v1

Duttine, A (2022). Assessment of the feasibility of Juntos: A support programme for families of children affected by Congenital Zika Syndrome. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/AFYBS

Dyson, ZA (2022). zadyson/SNV_Stats_Generator. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6581275

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). Accession numbers and data for S. Typhi sequences used in this study. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010306.s005

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

Dziva Chikwari, C (2022). Community based interventions to improve HIV outcomes in youth: a cluster randomised trial in Zimbabwe (CHIEDZA). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002718.

d-j-e, Holt, KE and Wyres, KL (2022). katholt/RedDog. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6460229

E

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

Egesa, M, Ssali, A, Tumwesige, E, Kizza, M, Driciru, E, Luboga, F, Roestenberg, M, Seeley, J and Elliott, AM (2022). Ethical and practical considerations arising from community consultation on implementing controlled human infection studies using Schistosoma mansoni in Uganda. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20223843.v1

Eletti, A, Marra, G, Quaresma, M, Radice, R and Rubio, FJ (2022). FJRubio67/LBANS/. [Data Collection]. Github. https://github.com/FJRubio67/LBANS/

Elliott, HR, Burrows, K, Min, JL, Tillin, T, Mason, D, Wright, J, Santorelli, G, Davey Smith, G, Lawlor, DA, Hughes, AD, Chaturvedi, N and Relton, CL (2022). Additional file 3 of Characterisation of ethnic differences in DNA methylation between UK-resident South Asians and Europeans. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21343076.v1

Elliott, HR, Burrows, K, Min, JL, Tillin, T, Mason, D, Wright, J, Santorelli, G, Davey Smith, G, Lawlor, DA, Hughes, AD, Chaturvedi, N and Relton, CL (2022). Additional file 4 of Characterisation of ethnic differences in DNA methylation between UK-resident South Asians and Europeans. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21343091.v1

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

Endo, A, Murayama, H, Abbott, S, Ratnayake, R, Pearson, CAB, Edmunds, WJ, Fearon, E and Funk, S (2022). akira-endo/monkeypox_heavytail: Heavy-tailed sexual contact networks and the epidemiology of monkeypox outbreak in non-endemic regions. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6984337

Endo, A, Uchida, M, Liu, Y, Atkins, KE, Kucharski, AJ and Funk, S (2022). akira-endo/schooldynamics_FluMatsumoto14-15: Simulating respiratory disease transmission within and between classrooms to assess pandemic management strategies at schools. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5604502

Endo, A, Van leeuwen, E and Jomaba, M (2022). akira-endo/Intro-PMCMC. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6984353

F

Fabian, J, Gondwe, M, Mayindi, N, Khoza, B, Gaylard, P, Wade, AN, Gómez‑Olivé, FX, Tomlinson, LA, Ramsay, M, Tollman, SM, Winkler, C, George, JA and Naicker, S (2022). Dataset from: Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study. [Data Collection]. University of the Witwatersrand, Johannesburg. https://doi.org/10.54223/uniwitwatersrand-10539-33016

Fabian, J, Kalyesubula, R, Mkandawire, J, Hansen, C, Nitsch, D, Musenge, E, Nakanga, WP, Prynn, JE, Dreyer, G, Snyman, T, Ssebunnya, B, Ramsay, M, Smeeth, L, Tollman, S, Naicker, S, Crampin, AC, Newton, R, George, JA and Tomlinson, LA (2022). ARKconsortium/iohexol_mGFR_eGFR. [Data Collection]. Github. https://github.com/ARKconsortium/iohexol_mGFR_eGFR

Falconer, J (2022). Search strategy for the systematic review informing recommendations 6 & 7 of the WHO Guideline 'Responding to children and adolescents who have been sexually abused'. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001023.

Feasey, H (2022). SCALE prevalence survey. [Data Collection]. Open Science Framework. https://osf.io/eu2xf/

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

Fernández-Niño, JA, Rojas Botero, ML, Arregoces, L and Ruiz, F (2022). Dataset of Study: Estimated number of deaths directly avoided because of COVID-19 vaccination among older adults in Colombia. [Data Collection]. Zenodo. https://doi.org/10.6084/m9.figshare.19122530.v1

Ferrari, G, Torres-Rueda, S, Jewkes, R and Vassall, A (2022). Prevention of violence against women and girls: A cost-effectiveness study across six low- and middle-income countries. [Data Collection]. MEDAT Data Repository. https://medat.samrc.ac.za/index.php/catalog/48

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

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

Forbes, H and Langan, S (2022). Clinical codelist - CPRD Gold - asthma. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002715.

Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R (2022). Viet Nam tuberculosis prevalence survey: equity analysis code. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002373.

Fu, Y, Wang, D, Chuang, J and Fu, H (2022). Social contact data for Taiwan. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6385758

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

G

Gallandat, K (2022). Water Supply Service Index. [Data Collection]. OSF. https://osf.io/76sev/

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

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

Gibbs, H, Waterlow, NR, Cheshire, J, Danon, L, Liu, Y, Grundy, C, Kucharski, AJ and Eggo, RM (2022). hamishgibbs/facebook_population_2020_2021. [Data Collection]. Github. https://github.com/hamishgibbs/facebook_population_2020_2021

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

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). 99% credible set SNPs for leprosy association at chromosome 10q24. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s016

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Analysis of pleiotropy at the leprosy association at chromosome 10q24. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s018

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Association statistics for imputed classical HLA alleles and leprosy risk in Malawi and Mali. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s022

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Chromatin state at chromosome 10q24. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s020

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Genome-wide association study of leprosy in Malawi and Mali. S2 Table. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s015

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Leprosy association statistics for suggestive associations in Malawi. S1 Table. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s014

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Regulatory function at the chromosome 10q24 leprosy association. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s021

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Replication of previously-published leprosy associated non-HLA SNPs in Malawi and Mali. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s023

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Replication of previously-published leprosy associated non-HLA SNPs in Malawi and Mali stratified by multibacillary and paucibacillary disease. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s024

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). SNP quality control summary in Malawi and Mali. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s026

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Sample quality control summary in Malawi and Mali. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s025

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Selection signatures at chromosome 10q24. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s019

Gilchrist, JJ, Auckland, K, Parks, T, Mentzer, AJ, Goldblatt, L, Naranbhai, V, Band, G, Rockett, KA, Toure, OB, Konate, S, Sissoko, S, Djimdé, AA, Thera, MA, Doumbo, OK, Sow, S, Floyd, S, Pönnighaus, JM, Warndorff, DK, Crampin, AC, Fine, PEM, Fairfax, BP and Hill, AVS (2022). Study populations and leprosy association statistics at rs2015583 in the Chinese replication analysis. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1010312.s017

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

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Croatia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535325

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Finland). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6542663

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 (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 (Slovakia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535356

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

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

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

Gombe, B, Streatfield, C, Leal, L, Opio, S, Joseph, S, Weber, J, Hare, J, Kaleebu, P and Serwanga, J (2022). Optimization and validation of an ELISA assay for the determination of antibody responses to CN54gp140 and AIDSVAX BE for use in the Phase IIb PrEPVacc vaccine trial. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0275927.s001

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

Grant, AD and Kielmann, K (2022). Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-854435

Grant, AD, Wong, E, Leslie, A, Karat, A, Fentress, M, Maharaj, P and Henwood, P (2022). Evaluation of ultrasound for screening and diagnosis of pulmonary tuberculosis, KwaZulu Natal, South Africa, 2019-20. [Data Collection]. Africa Health Research Institute. https://doi.org/10.23664/AHRI.POCUS.ANALYTICALDATASET.2022.V1

Grant, A and Kielmann, K (2022). Qualitative and quantitative data for tuberculosis Infection prevention and control in South Africa (KwaZulu-Natal and Western Cape). [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom, South Africa. https://doi.org/10.17037/DATA.00002919.

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

Greener, R (2022). ragreener1/deliveroo-scraper. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6961922

Greener, R (2022). ragreener1/justeat-scraper. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6962017

Greener, R, Lewis, D, Reades, J, Miles, S and Cummins, S (2022). Software and results for: Incorporating social norms into a configurable agent-based model of commuting behaviour. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4916753

Grenié, M, Gruson, H, Silge, J and Tucker, C (2022). Rekyt/funrar. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.596011

Gruson, H and Grenié, M (2022). fundiversity: Easy Computation of Functional Diversity Indices. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4761754

Gruson, H and actions-user (2022). Bisaloo/asymptor. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4326986

Guzman, FD, Iwamoto, Y, Saito, N, Salva, EP, Dimaano, EM, Nishizono, A, Suzuki, M, Oloko, O, Ariyoshi, K, Smith, C, Parry, CM and Solante, RM (2022). Clinical, epidemiological, and spatial features of human rabies cases in Metro Manila, the Philippines from 2006 to 2015. Study data. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010595.s004

H

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

Hawkey, J, Wyres, KL, Judd, LM, Harshegyi, T, Blakeway, L, Wick, RR, Jenney, AWJ and Holt, KE (2022). Additional file 1 of ESBL plasmids in Klebsiella pneumoniae: diversity, transmission and contribution to infection burden in the hospital setting. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20579653.v1

Hawkey, J, Wyres, KL, Judd, LM, Harshegyi, T, Blakeway, L, Wick, RR, Jenney, AWJ and Holt, KE (2022). Additional file 3 of ESBL plasmids in Klebsiella pneumoniae: diversity, transmission and contribution to infection burden in the hospital setting. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20579659.v1

Hawkey, J, Wyres, KL, Judd, LM, Harshegyi, T, Blakeway, L, Wick, RR, Jenney, AWJ and Holt, KE (2022). Additional file 4 of ESBL plasmids in Klebsiella pneumoniae: diversity, transmission and contribution to infection burden in the hospital setting. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20579662.v1

Henderson, A (2022). hendersonad/2020_multimorbidity. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5268826

Herrmann, Y, Lainati, F, del Mar Castro, M, Mwamba, C, Kumwenda, M, Muyoyeta, M, Broger, T, Heinrich, N, Olbrich, L, Corbett, EL, McMahon, S, Engel, N and Denkinger, C (2022). User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]. [Data Collection]. heiDATA. https://doi.org/10.11588/data/PLRQCZ

Higgins, M (2022). MatthewHiggins2017/bioconda-PrimedRPA. [Data Collection]. Github. https://github.com/MatthewHiggins2017/bioconda-PrimedRPA

Hodgson, D (2022). dchodge/nambcea. [Data Collection]. Github. https://github.com/dchodge/nambcea

Hodgson, D and Abbott, S (2022). dchodge/hero-study: Version submitted with WOR reviewers comments. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5215671

Houghton, J (2022). F6 M. tb knock out mutant Vs wildtype after 24hrs starvation in PBS Tyloxapol. [Data Collection]. Biostudies. https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-9327

Huang, S and Libiseller-Rgger, J (2022). ShujiaHuang/qmplot. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6776156

Hughes, R and Juel, R (2022). Data for: "Children, Cities and Climate: A cross-sectional survey of global urban youth on their cities and urban air quality". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002654.

I

Ijaz, UZ, Gundogdu, O, Keating, C, Eekert, Mv, Gibson, W, Parkhill, J, Abilahi, F, Liseki, B, Nguyen, V, Sudgen, S, Quince, C, Ensink, JHJ, Torondel, B and Walker, AW (2022). Analysis of pit latrine microbiota reveals depth-related variation in composition, and key parameters and taxa associated with latrine fill-up rate. [Data Collection]. Frontiers. https://doi.org/10.3389/fmicb.2022.960747.s008

Imam, A, Gathara, D, Aluvaala, J, Maina, M and English, M (2022). Additional file 1 of Evaluating the effects of supplementing ward nurses on quality of newborn care in Kenyan neonatal units: protocol for a prospective workforce intervention study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21275873.v1

Indravudh, PP (2022). Secondary data for a cluster-randomised trial of community-led delivery of HIV self-testing in Malawi (HIV Self-Testing Africa [STAR]). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003116.

Ingleby, F, Woods, LM, Atherton, I and Belot, A (2022). Life Table According to Age, Sex and Individual Socio-economic Status for the England and Wales Population, 2011. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855689

J

Jagne, I, Keeley, AJ, Bojang, A, Camara, B, Jallow, E, Senghore, E, Oluwalana, C, Bah, SY, Turner, CE, Sesay, AK, D’alessandro, U, Bottomley, C, De silva, TI and Roca, A (2022). Additional file 1 of Impact of intra-partum azithromycin on carriage of group A streptococcus in the Gambia: a posthoc analysis of a double-blind randomized placebo-controlled trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19092424.v1

Janssen, J, Afari-Asiedu, S, Monnier, A, Abdulai, MA, Tawiah, T, Wertheim, H, Baltussen, R and Asante, KP (2022). Additional file 2 of Exploring the economic impact of inappropriate antibiotic use: the case of upper respiratory tract infections in Ghana. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19498614.v1

Jaramillo, GI, Quintero, J, Jones, R and Qureshi, R (2022). A qualitative analysis of stakeholder perspectives on vector control & vector-borne diseases in Colombia – Interview transcripts. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002741.

Jarju, S, Senghore, E, Brotherton, H, Saidykhan, A, Jallow, S, Krubally, E, Sinjanka, E, Ndene, MN, Bajo, F, Sanyang, MM, Saidy, B, Bah, A, Mohammed, NI, Forrest, K, Clarke, E, Dalessandro, U, Sesay, AK, Usuf, E, Cerami, C, Roca, A, Kampmann, B and De silva, T (2022). Circulation of respiratory viruses during the COVID-19 pandemic in the Gambia. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/TSF78

Jombart, T (2022). epiverse-trace/linelist. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6532786

Jombart, T, actions-user, Gruson, H and Pavlich-Mariscal, J (2022). epiverse-trace/blueprints: 0.0.2. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7062318

K

Kabarambi, A, Kansiime, S, Kusemererwa, S, Kitonsa, J, Kaleebu, P and Ruzagira, E (2022). Data for: “Loss to follow-up and associated factors in an HIV vaccine preparedness cohort study in Masaka, Uganda”. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002915.

Kane, L (2022). Investigation of Vibrio cholerae pathogenesis using a novel human intestinal model of infection. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/PUBS.04670346

Kangbai, DM, Bandoh, DA, Manu, A, Kangbai, JY, Kenu, E and Addo-Lartey, A (2022). Additional file 1 of Socio-economic determinants of maternal health care utilization in Kailahun District, Sierra Leone, 2020. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19498366.v1

Kaswaswa, K, MacPherson, P, Kumwenda, M, Mpunga, J, Thindwa, D, Nliwasa, M, Mwapasa, M, Odland, J, Tomoka, T, Chipungu, G, Mukaka, M and Corbett, EL (2022). Effect of patient-delivered household contact tracing and prevention for tuberculosis: A household cluster-randomised trial in Malawi. Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.1371/journal.pone.0269219.s002

Katende, A, Nakiyingi, L, Andia-Biraro, I, Katairo, T, Muhumuza, R, Ssemata, AS, Nsereko, C, Semitala, FC and Meya, DB (2022). Antiretroviral therapy initiation and outcomes of hospitalized HIV-infected patients in Uganda - An evaluation of the HIV test and treat strategy. Health care worker interview guide. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0268122.s002

Katende, A, Nakiyingi, L, Andia-Biraro, I, Katairo, T, Muhumuza, R, Ssemata, AS, Nsereko, C, Semitala, FC and Meya, DB (2022). Antiretroviral therapy initiation and outcomes of hospitalized HIV-infected patients in Uganda-An evaluation of the HIV test and treat strategy. Stata data set. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0268122.s001

Keay, L, Ren, K, Nguyen, H, Vajdic, C, Odutola, M, Gyawali, R, Toomey, M, Peters, R, Ee, N, Dillon, L, Hackett, M, Ah Tong, B, D'Esposito, F, Faulmann, D, Burton, MJ, Ramke, J and Jalbert, I (2022). Supporting data for: Risk factors common to leading eye health conditions and major non-communicable diseases: A rapid review and commentary. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.gxd2547q0

Keddie, S (2022). shk313/diagnostic-test-metaanalysis/CrAg. [Data Collection]. GitHub. https://github.com/shk313/diagnostic-test-metaanalysis/tree/main/CrAg

Keddie, S, Bärenbold, O, Keogh, R and Bradley, J (2022). Stan models for diagnostic tests accuracy simulation; Accompaniment for Journal Article. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6616490

Kerac, M, Anujuo, K, Lelijveld, N, Kanjala, C, Chimwezi, E and Nyirenda, M (2022). CHANGE Cohort 2: Chronic disease outcomes after Severe Acute Malnutrition (ChroSAM). Malawi. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002657.

Kerac, M, Anujuo, K, Lelijveld, N, Thompson, D, McKenzie, K, Badaloo, A, Abera, M, Behrane, M, Amoah, AS, Crampin, AC, Mclean, E, Koulman, A, Swann, J, Wells, J and Nyirenda, M (2022). CHANGE Project (CHild malnutrition & Adult NCD: Generating Evidence on mechanistic links to inform future policy/practice). [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002655.

Kerac, M, Anujuo, K, Thompson, D, McKenzie, K, Badaloo, A, Boyne, M, Forrester, T, Gluckman, P, Hanson, M, Byrne, C, Cutfield, W, Kanjala, C and Opondo, C (2022). CHANGE Cohort 1: Long-term Implications Of Nutrition (LION) dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002656.

Kheang, ST, Ridley, R, Ngeth, E, Ir, P, Pengby, N, Sovannaroth, S, Lek, D, Phon, S, Kak, N and Yeung, S (2022). Feasibility and acceptability of G6PD testing and radical cure for Plasmodium vivax in Cambodia: the VIGTARC study. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002333.

Kibirige, D, Sekitoleko, I, Balungi, P, Kyosiimire-Lugemwa, J and Lumu, W (2022). Additional file 1 of Clinical, metabolic, and immunological characterisation of adult Ugandan patients with new-onset diabetes and low vitamin D status. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21130068.v1

Kibirige, D, Sekitoleko, I, Balungi, P, Kyosiimire-Lugemwa, J, Lumu, W, Jones, AG, Hattersley, AT, Smeeth, L and Nyirenda, MJ (2022). Islet autoantibody positivity in an adult population with recently diagnosed diabetes in Uganda. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0268783.s001

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

Kiniry, SJ and Judge, C (2022). skiniry/Trips-Viz. [Data Collection]. Github. https://github.com/skiniry/Trips-Viz

Kisesa HIV Open Cohort study and ALPHA Network (2022). ALPHA HIV Incidence and Mortality Data, Kisesa 1994-2016. [Data Collection]. DataFirst, Cape Town, South Africa. https://doi.org/10.25828/SGBS-Q698

Kitilya, B, PrayGod, G, Peck, R, Changalucha, J, Jeremiah, K, Kavishe, BB, Friis, H, Filteau, S, Faurholt-Jepsen, D, Krogh-Madsen, R, Brage, S and Olsen, MF (2022). S1 Questionnaire - Levels and correlates of physical activity and capacity among HIV-infected compared to HIV-uninfected individuals. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0262298.s001

Klim, H and Fornace, KM (2022). hklim06/Quantifying-human-animal-contact-rates-in-Malaysian-Borneo. [Data Collection]. GitHub. https://github.com/hklim06/Quantifying-human-animal-contact-rates-in-Malaysian-Borneo

Knight, G and Baede, VO (2022). gwenknight/strain_growth. [Data Collection]. Github. https://github.com/gwenknight/strain_growth

Koltai, M and Krauer, F (2022). mbkoltai/RSV-resurgence-model. [Data Collection]. Github. https://github.com/mbkoltai/RSV-resurgence-model

Kopec-Harding, K and Costello, R (2022). ARUKCFE/BmiAlgorithm. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.797044

Krauer, F (2022). fkrauer/RSV-seasonality-public. [Data Collection]. Github. https://github.com/fkrauer/RSV-seasonality-public

Krumm, S, Haun, M, Hiller, S, Charles, A, Kalha, J, Niwemuhwezi, J, Nixdorf, R, Puschner, B, Ryan, G, Shamba, D, Epstein, PG and Moran, G (2022). Additional file 3 of Mental health workers’ perspectives on peer support in high-, middle- and low income settings: a focus group study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21077837.v1

Kumar, N, Corpus, I, Hans, M, Harle, N, Yang, N, McDonald, C, Sakai, SN, Janmohamed, K, Chen, K, Altice, FL, Tang, W, Schwartz, JL, Jones-Jang, SM, Saha, K, Memon, SA, Bauch, CT, Choudhury, MD, Papakyriakopoulos, O, Tucker, JD, Goyal, A, Tyagi, A, Khoshnood, K and Omer, S (2022). COVID-19 Vaccine Perceptions on Reddit. [Data Collection]. OSF. https://osf.io/urp2a/

Kumssa, DB, Mossa, A, Amede, T, Ander, E, Bailey, E, Botoman, L, Chagumaira, C, Chimungu, J, Davis, K, Gameda, S, Haefele, S, Hailu, K, Joy, EJM, Lark, R, Ligowe, I, Muleya, P, McGrath, S, Milne, A, Munthali, M, Towett, E, Walsh, M, Wilson, L, Young, S, Nalivata, P, Gashu, D, Broadley, M and Haji, IR (2022). Cereal grain mineral micronutrient and soil chemistry data from GeoNutrition surveys in Ethiopia and Malawi. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.15911973.v1

L

Lawrence, D, Ssali, A, Moshashane, N, Nabaggala, G, Maphane, L, Harrison, T, Meya, D, Jarvis, J and Seeley, J (2022). Support files for: The acceptability of the AMBITION-cm treatment regimen for HIV-associated cryptococcal meningitis: findings from a qualitative methods study of participants and researchers in Botswana and Uganda. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003106.

Leclerc, QJ (2022). qleclerc/mrsa_phage_dynamics. [Data Collection]. Github. https://github.com/qleclerc/mrsa_phage_dynamics

Lee, SA (2022). sophie-a-lee/spatial_smooth_framework: Data and R code to accompany 'A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7054456

Lehri, B, Navoly, G, Willcocks, S, Huong, L and Stabler, RA (2022). Campylobacter coli strain, whole genome shotgun sequencing project. [Data Collection]. National Center for Biotechnology Information. https://www.ncbi.nlm.nih.gov/nuccore/JAKGTW000000000

Limbani, F and Kapumba, B (2022). “An increase in COVID-19 patients would be overwhelming”: A qualitative description of healthcare workers’ experiences during the first wave of COVID-19 (March 2020 to October 2020) at Malawi’s largest referral hospital. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17136161.v4

Lin, L (2022). liang-yu12/ukb_vd_hz_publish: Analytic codes for vitamin D and herpes zoster using UK Biobank. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6637502

Ling, S (2022). supingling/BiasAnalysis. [Data Collection]. Github. https://github.com/supingling/BiasAnalysis

Ling, S (2022). supingling/CancerInDiabetes. [Data Collection]. GitHub. https://github.com/supingling/cancerindiabetes

Ling, S (2022). supingling/HbA1c_cancer_meta-analysis. [Data Collection]. Github. https://github.com/supingling/HbA1c_cancer_meta-analysis

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

Loganathan, T, Chan, ZX, Hassan, F, Ong, ZL and Majid, HA (2022). Undocumented: An examination of legal identity and education provision for children in Malaysia. Interview guide. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0263404.s001

London School of Hygiene & Tropical Medicine (2022). A. baumannii vaccination response. [Data Collection]. European Nucleotide Archive. https://www.ebi.ac.uk/ena/browser/view/PRJEB51296

London School of Hygiene & Tropical Medicine (2022). Aedes_IR. [Data Collection]. NCBI Bioproject. https://www.ncbi.nlm.nih.gov/bioproject/860473

London School of Hygiene & Tropical Medicine (2022). CDC50 interacting partners of Plasmodium falcipraum. [Data Collection]. PRIDE: PRoteomic IDEntifications Database. https://www.ebi.ac.uk/pride/archive/projects/PXD033834

London School of Hygiene & Tropical Medicine (2022). Environmental detection of vector larvae. [Data Collection]. National Center for Biotechnology Information. https://www.ncbi.nlm.nih.gov/bioproject/PRJEB56414

London School of Hygiene & Tropical Medicine (2022). Environmental detection of vector larvae. [Data Collection]. NCBI BioProject. https://www.ncbi.nlm.nih.gov/bioproject/887310

London School of Hygiene & Tropical Medicine (2022). Genomics of Ocular Chlamydia trachomatis in Moshi District, Tanzania. [Data Collection]. NCBI Bioproject. https://www.ncbi.nlm.nih.gov/bioproject/864716

London School of Hygiene & Tropical Medicine (2022). London School of Hygiene and Tropical Medicine Activity File. [Data Collection]. International Aid Transparency Initiative. https://www.iatiregistry.org/dataset/lshtm-activities

London School of Hygiene & Tropical Medicine (2022). PRJEB57331. [Data Collection]. European Nucleotide Archive. https://www.ebi.ac.uk/ena/browser/view/PRJEB57331

London School of Hygiene & Tropical Medicine (2022). Plasmodium falciparum sequencing Bijagos Archipelago 2018. [Data Collection]. NIH National Library of Medicine. https://www.ncbi.nlm.nih.gov/bioproject/905557

London School of Hygiene & Tropical Medicine (2022). Plasmodium vivax from Brazil. [Data Collection]. NCBI BioProject. https://www.ncbi.nlm.nih.gov/bioproject/906862

London School of Hygiene & Tropical Medicine (2022). Population genetic analysis of Plasmodium knowlesi reveals differential selection and exchange events between Borneo and Peninsular sub-populations. [Data Collection]. European Nucleotide Archive. https://www.ebi.ac.uk/ena/browser/view/PRJEB52783

Lotfizadeh, A, Palafox, B, Takallou, A, Balabanova, D, Mckee, M and Murphy, A (2022). Factors associated with the availability and affordability of essential cardiovascular disease medicines in low- and middle-income countries: A systematic review. Data extraction table. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000072.s004

Lucinde, RK, Mugo, D, Bottomley, C, Karani, A, Gardiner, E, Aziza, R, Gitonga, JN, Karanja, H, Nyagwange, J, Tuju, J, Wanjiku, P, Nzomo, E, Kamuri, E, Thuranira, K, Agunda, S, Nyutu, G, Etyang, AO, Adetifa, IMO, Kagucia, E, Uyoga, S, Otiende, M, Otieno, E, Ndwiga, L, Agoti, CN, Aman, RA, Mwangangi, M, Amoth, P, Kasera, K, Nyaguara, A, Ng’ang’a, W, Ochola, LB, Namdala, E, Gaunya, O, Okuku, R, Barasa, E, Bejon, P, Tsofa, B, Ochola-Oyier, LI, Warimwe, GM, Agweyu, A, Scott, JAG and Gallagher, KE (2022). Stan code and input data for estimating adjusted seroprevalence. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0265478.s005

M

MRC Unit The Gambia at LSHTM (2022). Genetic diversity of P. malariae in sub-Saharan Africa. [Data Collection]. NCBI BioProject. https://www.ncbi.nlm.nih.gov/bioproject/873023

MRC/UVRI & LSHTM Uganda Research Unit (2022). Measles virus genomes in Uganda. [Data Collection]. NIH National Library of Medicine. https://www.ncbi.nlm.nih.gov/bioproject/PRJNA843031

MRC/UVRI and White, R (2022). Respondent-Driven Sampling and Total Population Data from a Rural Ugandan Cohort, 2010: Special Licence Access. [Data Collection]. UK Data Service, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-7462-1

MacPherson, EE, Reynolds, J, Sanudi, E, Nkaombe, A, Mankhomwa, J, Dixon, J and Chandler, CIR (2022). Understanding antimicrobial use in subsistence farmers in Chikwawa District Malawi, implications for public awareness campaigns. Household survey questionnaire. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000314.s002

MacPherson, E, Dixon, J, Sanudi, E, Nkaombe, A, Reynolds, J, Roberts, C, Lal, S and Chandler, C (2022). FIEBRE Social Science - Malawi. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001771.

Madaniyazi, L, Tobias, A, Kim, Y, Chung, Y, Armstrong, B and Hashizume, M (2022). LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial. [Data Collection]. Github. https://github.com/LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial

Maier, AG and Van ooij, C (2022). Table 1 - The role of cholesterol in invasion and growth of malaria parasites. [Data Collection]. Frontiers. https://doi.org/10.3389/fcimb.2022.984049.s001

Mainga, T, Gondwe, M, Mactaggart, I, Stewart, RC, Shanaube, K, Ayles, H and Bond, V (2022). Additional file 1 of Qualitative study of patient experiences of mental distress during TB investigation and treatment in Zambia. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20342552.v1

Makori, TO, Bargul, JL, Lambisia, AW, Mwanga, MJ, Murunga, N, Laurent, ZRd, Lewa, CS, Mutunga, M, Phan, M, Cotten, M, Nokes, DJ and Agoti, CN (2022). Replication Data for: Genomic epidemiology of the rotavirus G2P[4] strains in coastal Kenya pre- and post-rotavirus introduction, 2012-2018. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/P4MRVF

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

Malawi Government, Phiri, K, Saunders, J, Muleya, M, Joy, E, Tang, K, Smith, G and Pitchford, N (2022). Unified Region Based Covariates for Investigating the Causes of Early Childhood Adversity, 2010-2017. [Data Collection]. UK Data Service, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855070

Mansfield, KE (2022). Clinical codelist - Chronic Kidney Disease (Read). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002790.

Mansfield, KE and Carreira, H (2022). Clinical Codelist - Acute Kidney Injury (ICD-10). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002787.

Manyaapelo, T and Seeley, J (2022). Interviews data matrix. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19738477.v1

Marshall, G, Skeva, R, Jay, C and Fearon, E (2022). Interview summary data supporting "Public involvement in pandemic modelling: a qualitative study of Test, Trace and Isolate practices in the UK and implications for modelling". [Data Collection]. Zenodo. https://doi.org/10.6084/m9.figshare.15067119.v2

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.

Massazza, A, Joffe, H, Parrott, E and Brewin, CR (2022). Remembering the earthquake: intrusive memories of disaster in a rural Italian community. [Data Collection]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.19747219.v1

Masselot, P (2022). PierreMasselot/Paper--2017--Nonparametric-L-moment-homogeneity-test. [Data Collection]. Github. https://github.com/PierreMasselot/Paper--2017--Nonparametric-L-moment-homogeneity-test

Masselot, P (2022). PierreMasselot/Paper--2022--Biostatistics--CGAIM. [Data Collection]. Github. https://github.com/PierreMasselot/Paper--2022--Biostatistics--CGAIM

Masselot, P (2022). PierreMasselot/Paper--2022--EE--Heat_climate. [Data Collection]. Github. https://github.com/PierreMasselot/Paper--2022--EE--Heat_climate

Masselot, P (2022). PierreMasselot/cgaim. [Data Collection]. Github. https://github.com/PierreMasselot/cgaim

Masselot, P (2022). PierreMasselot/cirls. [Data Collection]. Github. https://github.com/PierreMasselot/cirls

Masselot, P (2022). cgaim: Constrained Groupwise Additive Index Models. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=cgaim

McCreesh, N, Middelkoop, K and Mohlamonyane, M (2022). Cape Town social contact data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002756.

McQuaid, CF, Henrion, MYR, Burke, RM, MacPherson, P, Nzawa-Soko, R and Horton, KC (2022). Additional file 1 of Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21550982.v1

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

Meakin, S and Abbott, S (2022). epiforecasts/covid19-hospital-activity. [Data Collection]. Github. https://github.com/epiforecasts/covid19-hospital-activity

Meda, A, Riaz, A and Todd, J (2022). Screening tools - critical illness - Tanzania. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002884.

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). Gene ontology (GO) enrichment analysis results for significantly upregulated genes at all time points. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s003

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). KEGG and gene ontology (GO) enrichment analyses for significantly differentially expressed genes between low and high PET score groups for the terms and pathways identified in the main analyses. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s005

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). KEGG pathway enrichment analysis results for significantly differentially expressed genes at all time points. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s004

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). List of differentially expressed genes at all time points. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s002

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). PET scores for the catalysis study specimens. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s001

Melendez-Torres, GJ, Warren, E, Ukoumunne, OC, Viner, R and Bonell, C (2022). Additional file 1 of Locating and testing the healthy context paradox: examples from the INCLUSIVE trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19246465.v1

Mengistie, M, Arefayne, M, Nigatu, T, Abdissa, A, Anujuo, K and Kerac, M (2022). CHANGE Cohort 3: Assessment of Long-Term Health Consequences of Acute Malnutrition (ACAM). Ethiopia. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002658.

Mentzer, A, Dilthey, A, Pollard, M, Gurdasani, D, Karakoc, E, Carstensen, T, Muhwezi, A, Cutland, C, Diarra, A, da Silva Antunes, R, Paul, S, Smits, G, Wareing, S, Kim, H, Pomilla, C, Chong, A, Brandt, D, Nielsen, R, Neaves, S, Timpson, N, Crinklaw, A, Arlehamn, C, Rautanen, A, Kizito, D, Parks, T, Auckland, K, Elliott, K, Mills, T, Ewer, K, Edwards, N, Fatumo, S, Peacock, S, Jeffery, K, van der Klis, F, Kaleebu, P, Vijayanand, P, Peters, B, Sette, A, Cereb, N, Sirima, S, Madhi, S, Elliott, A, McVean, G, Hill, A and Sandhu, M (2022). High-resolution African HLA resource uncovers HLA-DRB1 expression effects underlying vaccine response: summary statistics. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7357687

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

Mkwashapi, D, Katunzi, F, Mtenga, B, Urassa, M, Marston, M and Todd, J (2022). Data for: "Fertility desire for men and women: Magu Health and Demographic surveillance system". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002883.

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.

Modell, B, Darlison, MW, Moorthie, S, Blencowe, H, Petrou, M and Lawn, JE (2022). Epidemiological Methods in Community Genetics and the Modell Global Database of Congenital Disorders (MGDb). [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003014.

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

Morris, TP, Walker, AS, Williamson, EJ and White, IR (2022). Additional file 1 of Planning a method for covariate adjustment in individually randomised trials: a practical guide. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19613608.v1

Morris, TP, Walker, AS, Williamson, EJ and White, IR (2022). Additional file 2 of Planning a method for covariate adjustment in individually randomised trials: a practical guide. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19613611.v1

Mosha, MV, Paulo, HA, Msuya, SE, Grosskurth, H and Filteau, S (2022). Additional file 2 of Lack of an association between dietary patterns and adiposity among primary school children in Kilimanjaro Tanzania. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19634914.v1

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

Mukherjee, M, Bhopal, S, Bhavnani, S, Sharma, KK, Roy, R, Divan, G, Mandal, S, Kirkwood, B and Patel, V (2022). Dataset for: The effect of cumulative early life adversities, and their differential mediation through hair cortisol levels, on childhood growth and cognition: Three-year follow-up of a birth cohort in rural India. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002753.

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

Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2022). Summary characteristics of AGYW by schooling status at baseline and by invitation to DREAMS. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0255165.s010

Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, Van Zandvoort, K, Funk, S and Edmunds, WJ (2022). Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7351950

Mureyi, D, Katena, NA and Monera-Penduka, T (2022). FGD transcripts for: "Perceptions of diabetes patients and their caregivers regarding access to medicine in a severely constrained health system: A qualitative study in Harare, Zimbabwe". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000255.s005

Muriithi, FG, Banke-Thomas, A, Gakuo, R, Pope, K, Coomarasamy, A and Gallos, ID (2022). Supporting files for: "Individual, health facility and wider health system factors contributing to maternal deaths in Africa: A scoping review". [Data Collection]. PLOS Global Public Health.

Murphy, A, Šubelj, M, Babarczy, B, Köhler, K, Chapman, E, Truden-Dobrin, P, Oliver, K, Nahrgang, S, Reinap, M and Kuchenmüller, T (2022). Additional file 1 of An evaluation of the evidence brief for policy development process in WHO EVIPNet Europe countries. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19728535.v1

Murphy, A, Šubelj, M, Babarczy, B, Köhler, K, Chapman, E, Truden-Dobrin, P, Oliver, K, Nahrgang, S, Reinap, M and Kuchenmüller, T (2022). Additional file 1 of An evaluation of the evidence brief for policy development process in WHO EVIPNet Europe countries. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19728535.v1

Mustard, C, Haines, A, Belesova, K and Cousens, S (2022). Achieving good health with low environmental footprint - A comparison of national indicators dataset. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21547854.v1

Muzambi, R (2022). RutendoMuzambi/InfectionsCognitionNeuroimaging. [Data Collection]. Github. https://github.com/RutendoMuzambi/InfectionsCognitionNeuroimaging

N

Nakamanya, S, Kawuma, R, Kibuuka, D, Kusemererwa, S, McCormack, S, Ruzagira, E and Seeley, J (2022). Registration cohort–baseline data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0271104.s001

Nakamanya, S, Kawuma, R, Kibuuka, D, Kusemererwa, S, McCormack, S, Ruzagira, E and Seeley, J (2022). Registration cohort–followup data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0271104.s002

Napier, G (2022). GaryNapier/comp_mut. [Data Collection]. https://github.com/GaryNapier/comp_mut

Nasher, F, Lehri, B, Horney, M, Stabler, R and Wren, BW (2022). Campylobacter jejuni interactions with Acanthamoeba castellanii. [Data Collection]. NCBI Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE206909

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

Nightingale, E (2022). esnightingale/covid_deaths_spatial. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5763663

Nigri, A, Aburto, JM, Basellini, U and Bonetti, M (2022). Code: Evaluation of age-specific causes of death in the context of the Italian longevity transition. [Data Collection]. OSF. https://osf.io/yr92s/?view_only=a899e63ae7274374b23aecd457edf425

Nounu, A, Kar, SP, Relton, CL and Richmond, RC (2022). Additional file 1 of Sex steroid hormones and risk of breast cancer: a two-sample Mendelian randomization study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21303008.v1

Nájera Espinosa, S, Pastorino, S and Scheelbeek, P (2022). Mapping the evidence of plant-based alternative foods: A systematic literature review protocol on nutritional, health, and environmental impacts. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003015.

O

O'Reilly, KM (2022). kath-o-reilly/wbe_prevalence_england_python. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6674384

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. Optimising scale and deployment of community health workers in Sierra Leone: a geospatial analysis. 2022. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5712134

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

Olubiyi, OA, Rotimi, BF, Afolayan, MA, Alatishe-Muhammad, BW, Olubiyi, OM and Dahiru Balami, A (2022). Additional file 1 of The ten-year risk of developing cardiovascular disease among public health workers in North-Central Nigeria using Framingham and atherogenic index of plasma risk scores. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19669987.v1

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

Oulton, T, Obiero, J, Rodriguez, I, Ssewanyana, I, Dabbs, RA, Bachman, CM, Greenhouse, B, Drakeley, C, Felgner, PL, Stone, WJR and Tetteh, KKA (2022). Correlation coefficient results for all protein pairs. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0273106.s005

Oulton, T, Obiero, J, Rodriguez, I, Ssewanyana, I, Dabbs, RA, Bachman, CM, Greenhouse, B, Drakeley, C, Felgner, PL, Stone, WJR and Tetteh, KKA (2022). Detail of expressed protein targets. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0273106.s004

P

Page, AE, Emmott, EH, Dyble, M, Migliano, A, Viguier, S and Major-Smith, D (2022). Childcare in the Agta. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003156.

Page, AE, Migliano, AB, Dyble, M, Major-Smith, D, Viguier, S and Hassan, A (2022). Supplementary material from "Sedentarization and maternal childcare networks: role of risk, gender and demography". [Data Collection]. The Royal Society. https://doi.org/10.6084/m9.figshare.c.6251235.v1

Palileo-Villanueva, LM, Palafox, B, Amit, AML, Pepito, VCF, Ab-Majid, F, Ariffin, F, Balabanova, D, Isa, M, Mat-Nasir, N, My, M, Renedo, A, Seguin, ML, Yusoff, K, Dans, AL and Mckee, M (2022). Additional file 1 of Prevalence, determinants and outcomes of traditional, complementary and alternative medicine use for hypertension among low-income households in Malaysia and the Philippines. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21256954.v1

Parker, E and Horne, E (2022). opensafely/ckd-coverage-ve. [Data Collection]. Github. https://github.com/opensafely/ckd-coverage-ve

Patel, A, Nofal, SD, Blackman, MJ and Baker, DA (2022). Supplementary information, CDC50 orthologues in Plasmodium falciparum have distinct roles in merozoite egress and trophozoite maturation. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6619340

Pearson, CAB, Russell, TW and Kucharski, AJ (2022). cmmid/SA2UK: CEA submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6979557

Pembrey, L, Cunha, S and Santorelli, G (2022). Clinical code lists – Asthma, Eczema and Hay fever. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003098.

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

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

Pinto, M, Moreira, MEL, Barros, Letícia Baptista de Paula, Costa, Ana Carolina Carioca da, Fernandes, S and Kuper, H (2022). Catastrophic expenditure on congenital Zika syndrome: results of a cross-sectional study of caregivers of children in Rio de Janeiro, Brazil. [Data Collection]. SciELO journals. https://doi.org/10.6084/m9.figshare.19969088.v1

Piper, J, Ntozini, R, Prendergast, A, Mwapaura, MT and Chidhanguro, D (2022). Adaptation of the Kaufman Assessment Battery for Children—2nd edition (KABC-II) to assess school-age neurodevelopment in rural Zimbabwe. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/T6GXB

Powell-Jackson, T, Fardousi, N, da Silva, E, Kovacs, R, Borghi, J, Barreto, J, Søren, K, Sampaio, J, Shimizu, HE, Gomes, L, Letícia, X and Garibaldi, G (2022). Supporting files for: Performance bonuses and the quality of primary health care delivered by family health teams in Brazil: A difference-in differences analysis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002886.

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

Putri, AI, de Sabbata, K, Agusni, RI, Alinda, MD, Darlong, J, De Barros, B, Walker, SL, Zweekhorst, MBM and Peters, RMH (2022). Understanding leprosy reactions and the impact on the lives of people affected: An exploration in two leprosy endemic countries. Socio-demographic data. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010476.s001

Putri, AI, de Sabbata, K, Agusni, RI, Alinda, MD, Darlong, J, de Barros, B, Walker, SL, Zweekhorst, MBM and Peters, RMH (2022). Understanding leprosy reactions and the impact on the lives of people affected: An exploration in two leprosy endemic countries. Interview Guide for People with Leprosy Reactions. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010476.s002

Q

Qian, GY, Clifford, S, Flasche, S and Papastylianou, T (2022). GeorgeYQian/Nha-Trang-Contact-Study-Data-and-Code. [Data Collection]. Github. https://github.com/GeorgeYQian/Nha-Trang-Contact-Study-Data-and-Code

Quaife, M (2022). Cross-sectional survey of health worker motivation in Ethiopia – Collection tools for qualitative and quantitative research. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001565.

Quaife, M (2022). Data for: Partnership preferences, economic drivers, and health consequences of Gambian men's interactions with foreign tourists. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003105.

Quek, S, Cerdeira, L, Jeffries, CL, Tomlinson, S, Walker, T, Hughes, GL and Heinz, E (2022). Wolbachia endosymbionts in two Anopheles species indicates independent acquisitions and lack of prophage elements. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19576432.v1

R

Raj, E, Calvo-Urbano, B, Heffernan, C, Halder, J and Webster, JP (2022). Additional file 4 of Systematic review to evaluate a potential association between helminth infection and physical stunting in children. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19625628.v1

Rees, E (2022). erees/leptoSerology. [Data Collection]. Github. https://github.com/erees/leptoSerology

Rehman, AM, Simms, V, McHugh, G, Mujuru, H, Ngwira, LG, Semphere, R, Moyo, B, Bandason, T, Odland, JO and Ferrand, RA (2022). Adherence to additional medication for management of HIV-associated comorbidities among older children and adolescents taking antiretroviral therapy. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0269229.s001

Reichenberger, V (2022). Participatory Visual Methods with caregivers of children with Congenital Zika Syndrome in Colombia: A case study. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002745.

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

Roberts, C (2022). chrissyhroberts/OMR_LSHTM. [Data Collection]. Github. https://github.com/chrissyhroberts/OMR_LSHTM

Roberts, C and Bustinduy, A (2022). Female Genital Schistosomiasis - Medical Training Device. [Data Collection]. Thingiverse. https://www.thingiverse.com/thing:5389502

Roberts, C and Bustinduy, A (2022). Swabbable Vagina and Vulva - Medical training device. [Data Collection]. Thingiverse. https://www.thingiverse.com/thing:5389526

Roberts, C, Stott, C, Lal, S, Marks, M, Shawe-Taylor, M and Chaudhry, Z (2022). Biometric linkage of longitudinally collected electronic case report forms and confirmation of subject identity: An open framework for Open Data Kit (ODK) and related tools. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003115.

Robinson, A, Versteeg, B, Shafi Abdurahman, O, Clatworthy, I, Shuka, G, Debe, D, Hordofa, G, Reis de Oliveira Gomes, L, Abraham Aga, M, Dumessa, G, Sarah, V, Macleod, D, Last, AR, Burton, MJ and Logan, JG (2022). Field entomology data from Ethiopian trachoma population survey and laboratory transmission experiments for Musca sorbens and Chlamydia trachomatis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003114.

Rodriguez, CA, Lodi, S, Horsburgh, CR, Bastard, M, Hewison, C, Huerga, H, Khan, M, Khan, PY, Khan, U, Oyewusi, L, Padayachee, S, Mitnick, CD and Franke, MF (2022). Selection bias in multidrug-resistant tuberculosis cohort studies assessing sputum culture conversion. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0276457.s003

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

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

Rotsaert, A, Sibanda, E, Hatzold, K, Johnson, C, Corbett, E, Neuman, M and Cowan, F (2022). Additional file 1 of Did you hear about HIV self-testing? HIV self-testing awareness after community-based HIVST distribution in rural Zimbabwe. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.18393032.v1

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

Ruiz Cuenca, P, Key, S, Lindblade, KA, Vythilingam, I, Drakeley, C and Fornace, K (2022). 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.c.5902668.v1

S

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

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

Sbarra, AN, Mosser, JF, Jit, M, Ferrari, M, Ramshaw, RE, O'Connor, P, Krause, LK, Rogowski, EL and Portnoy, A (2022). Estimating national-level measles case–fatality ratios in low-income and middle-income countries: an updated systematic review and modelling study. [Data Collection]. Zenodo. https://zenodo.org/record/7633577

Schwarzer, G, Carpenter, JR and Rücker, G (2022). metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis. [Data Collection]. The Comprehensive R Archive Network.

Schöley, J, Aburto, JM, Kashnitsky, I, Kniffka, MS, Zhang, L, Jaadla, H, Dowd, JB and Kashyap, R (2022). Data for Figures and Tables in "Bounce backs amid continued losses: Life expectancy changes since COVID-19". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6224375

Schöley, J, Aburto, JM, Kashnitsky, I, Kniffka, MS, Zhang, L, Jaadla, H, Dowd, JB and Kashyap, R (2022). Life table data for "Bounce backs amid continued losses: Life expectancy changes since COVID-19". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6241024

Seeley, J and Manyaapelo, T (2022). The impact of COVID-19 on older people in a rural district of KwaZulu-Natal, South Africa. [Data Collection]. Africa Health Research Institute. https://doi.org/10.23664/AHRI.COVID-19.AND.OLDER.PEOPLE.STUDY.INTERVIEW.DATA.MATRIX

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

Shah, V (2022). softcopy of daily diaries. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5934135

Shah, V, Torondel, B and Nabwera, H (2022). Supplementary material for paper. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6338746

Shanaube, K, Gachie, T, Hoddinott, G, Schaap, A, Floyd, S, Mainga, T, Bond, V, Hayes, R, Fidler, S and Ayles, H (2022). Depressive symptoms and HIV risk behaviours among adolescents enrolled in the HPTN071 (PopART) trial in Zambia and South Africa. Aggregate dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278291.s012

Shen, X, Caramaschi, D, Adams, MJ, Walker, RM, Min, JL, Kwong, A, Hemani, G, Barbu, MC, Whalley, HC, Harris, SE, Deary, IJ, Morris, SW, Cox, SR, Relton, CL, Marioni, RE, Evans, KL and McIntosh, AM (2022). Additional file 2 of DNA methylome-wide association study of genetic risk for depression implicates antigen processing and immune responses. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19470512.v1

Shen, X, Caramaschi, D, Adams, MJ, Walker, RM, Min, JL, Kwong, A, Hemani, G, Barbu, MC, Whalley, HC, Harris, SE, Deary, IJ, Morris, SW, Cox, SR, Relton, CL, Marioni, RE, Evans, KL and McIntosh, AM (2022). Additional file 3 of DNA methylome-wide association study of genetic risk for depression implicates antigen processing and immune responses. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19470515.v1

Sherratt, K and Funk, S (2022). covid19-forecast-hub-europe/euro-hub-ensemble: Zenodo release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6895699

Shiekh, S and Warren-Gash, C (2022). Clinical codelist - CPRD Gold - autoimmune conditions. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002716.

Showering, A (2022). Skin microbiome alters attractiveness to Anopheles mosquitoes. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5997085

Simons, D (2022). DidDrog11/lassa_underreporting. [Data Collection]. Github. https://github.com/DidDrog11/lassa_underreporting

Simons, D (2022). DidDrog11/scoping_review. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4718374

Simpson, H (2022). Study toolkit for: Effectiveness of community-based burden estimation to achieve elimination of lymphatic filariasis: a comparative cross-sectional investigation in Côte d’Ivoire. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/K2S1R2

Simpson, H, Konan, DO, Brahima, K, d'Arc Koffi, J, Edmiston, M, Weiland, SL, Halliday, K, Pullan, RL, Meite, A, Guibehi Koudou, B and Timothy, J (2022). Integration of LF morbidity management and disability prevention (MMDP) into community health services: exploring the coverage and equity of community health worker-driven LF MMDP burden assessment and service uptake in Côte d’Ivoire. [Data Collection]. UNC Dataverse. https://doi.org/10.15139/S3/CDV0D0

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

Singh, MP, Popli, R, Brar, S, Rajsekar, K, Sachin, O, Naik, J, Kumar, S, Sinha, S, Singh, V, Patel, P, Verma, R, Hazra, A, Misra, R, Mehrotra, D, Biswal, SB, Panigrahy, A, Gaur, KL, Pankaj, JP, Sharma, DK, Madhavi, K, Madhusudana, P, Narayanasamy, K, Chitra, A, Velhal, GD, Bhondve, AS, Bahl, R, Kaur, S and Prinja, S (2022). CHSI costing study–Challenges and solutions for cost data collection in private hospitals in India. S1 File. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0276399.s004

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

Smythe, T, Inglis-Jassiem, G, Conradie, T, Kamalakannan, S, Fernandes, S, van-Niekerk, S, English, R, Webster, J, Hameed, S and Louw, Q (2022). Additional file 1 of Access to health care for people with stroke in South Africa: a qualitative study of community perspectives. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19556250.v1

Soremekun, O, Slob, EAW, Burgess, S, Boua, PR, Fatumo, S and Gill, D (2022). Genetically predicted lipid traits, diabetes mellitus liability and carotid intima-media thickness in African ancestry individuals: a Mendelian randomization study. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7229644

Soremekun, S (2022). inSCALE Uganda Impact Evaluation Dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002559.

Spadar, A (2022). AntonS-bio/entropy. [Data Collection]. GitHub. https://github.com/AntonS-bio/entropy

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

Straneo, M, Beňová, L, van den Akker, T, Pembe, AB, Smekens, T and Hanson, C (2022). Bivariate analysis of outcome (home, primary care facility or hospital birth) by independent variables among rural women with a recent live birth, by year of DHS survey. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000345.s003

Straneo, M, Beňová, L, van den Akker, T, Pembe, AB, Smekens, T and Hanson, C (2022). Crude and adjusted odds ratios of home versus PHC birth (left) and hospital versus PHC birth (right) in each year of DHS survey, in rural women with a recent live birth. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000345.s004

Straneo, M, Beňová, L, van den Akker, T, Pembe, AB, Smekens, T and Hanson, C (2022). Key policies in Tanzania which influenced where women can give birth from independence. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000345.s001

Straneo, M, Beňová, L, van den Akker, T, Pembe, AB, Smekens, T and Hanson, C (2022). Main sample characteristics of rural women with a recent live birth from Tanzania in each DHS survey analysed. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000345.s002

Straneo, M, Beňová, L, van den Akker, T, Pembe, AB, Smekens, T and Hanson, C (2022). Predicted margins (percentage) with 95% CI for each outcome level (home/PHC/hospital) birth in rural Tanzania by year of DHS survey and wealth group in women at parity 0 and ≥5. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000345.s005

Sturt, A, Webb, E, Bristowe, H and Bustinduy, A (2022). Data for: Expert review of images from hand-held colposcopy in Zambian women with genital schistosomiasis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003182.

Sturt, A, Webb, E and Bustinduy, A (2022). Data for: “The presence of hemoglobin in cervicovaginal lavage is not associated with genital schistosomiasis in Zambian women from the BILHIV study”. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002983.

Sudharsanan, N, Aburto, JM, Riffe, T and van Raalte, A (2022). Omran revisited. [Data Collection]. OSF. https://osf.io/vwd37

Sumner, T (2022). tomsumner/Variance_SA_TB. [Data Collection]. GitHub. https://github.com/tomsumner/Variance_SA_TB

Sutherland, C and Lubis, IN (2022). Plasmodium falciparum drug resistant genotypes - SUMUT study, North Sumatera, 2015. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002720.

Sweeney, S (2022). Stata Do Files for pooling and analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/9XZBGE

Szekely, A, Gon, G, Lowe, H and Tosi, M (2022). Hand Hygiene Social Norms among Healthcare Workers During Early COVID-19: Results of a Global Survey. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/AYKGH

T

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

Tewahido, D, Worku, A, Tadesse, AW, Gulema, H and Berhane, Y (2022). Focus group discussion transcripts. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0263987.s002

Thindwa, D, Jambo, KC, Ojal, J, MacPherson, P, Dennis Phiri, M, Pinsent, A, Khundi, M, Chiume, L, Gallagher, KE, Heyderman, RS, Corbett, EL, French, N and Flasche, S (2022). deusthindwa/social.contact.rates.estimation.hiv.malawi. [Data Collection]. Github. https://github.com/deusthindwa/social.contact.rates.estimation.hiv.malawi

Thompson, JA, Leyrat, C, Fielding, KL and Hayes, RJ (2022). Additional file 2 of Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20484843.v1

Timire, C, Sandy, C, Ferrand, RA, Mubau, R, Shiri, P, Mbiriyawanda, O, Mbiba, F, Houben, Rein M. G. J., Pedrazzoli, D, Bond, V, Foster, N and Kranzer, K (2022). Dataset: Cash transfer project. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001027.s004

Trienekens, SCM, Faust, CL, Besigye, F, Pickering, L, Tukahebwa, EM, Seeley, J and Lamberton, PHL (2022). Variation in water contact behaviour and risk of Schistosoma mansoni (re)infection among Ugandan school-aged children in an area with persistent high endemicity. [Data Collection]. University of Glasgow. https://doi.org/10.5525/gla.researchdata.1233

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - COPD ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002873.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - COPD ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002872.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - Parkinson's disease ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002861.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - Parkinson's disease ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002860.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - alcohol related illness ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002869.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - alcohol related illness ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002868.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - asthma ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002871.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - asthma ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002870.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - autoimmune disease ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002852.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - cerebrovascular disease ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002863.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - cerebrovascular disease ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002862.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - herpes simplex virus ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002855.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - herpes simplex virus ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002854.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - herpes zoster ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002867.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - herpes zoster ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002866.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - hypertension ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002875.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - hypertension ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002874.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - immunosuppression ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002857.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - immunosuppression ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002856.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - liver disease ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002877.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - liver disease ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002876.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - mood disorders ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002859.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - mood disorders ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002858.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - other cardiovascular disease ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002879.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - other cardiovascular disease ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002878.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - renal disease ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002881.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - renal disease ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002880.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - traumatic brain injury ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002865.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist - traumatic brain injury ICD9 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002864.

Tunnicliffe, L and Warren-Gash, C (2022). Clinical codelist- autoimmune disease ICD10 codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002853.

Tunnicliffe, L and Warren-Gash, C (2022). Codelists for: "Is herpes zoster associated with increased risk of Parkinson's disease diagnosis". [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002848.

U

Uganda Medical Informatics Centre (2022). APCDR AGV Baganda. [Data Collection]. European Genome-phenome Archive. https://ega-archive.org/datasets/EGAD00010001055

Uganda Medical Informatics Centre (2022). APCDR AGV Project: Low depth (4x) sequence data from an Ugandan population (BAMs). [Data Collection]. European Genome-phenome Archive. https://ega-archive.org/datasets/EGAD00001001008

Uganda Medical Informatics Centre (2022). APCDR Uganda GWAS - High depth sequencing of a Baganda trio. [Data Collection]. European Genome-phenome Archive. https://ega-archive.org/datasets/EGAD00001005346

Uganda Medical Informatics Centre (2022). APCDR Uganda GWAS - UG2G dataset: Whole genome low depth sequence data for 2000 Ugandans (BAMs). [Data Collection]. European Genome-phenome Archive. https://ega-archive.org/datasets/EGAD00001001639

Uganda Medical Informatics Centre (2022). APCDR Uganda GWAS: Genome-wide sequence variation and susceptibility loci for cardiometabolic traits in a sub-Saharan African population (UGWAS component). [Data Collection]. European Genome-phenome Archive. https://ega-archive.org/studies/EGAS00001001558

V

Vallat, R, Appelhoff, S, Spaak, E, JElfner, systole-docs, Tan, G, Paulino, A, Dominic C., Leicas, Nárai, Ádám, Wallan, S, Barthélemy, Q, Weixin, J, Singaravelan, K, Crabtree, KN, Punčochář, M, Legrand, N, Jolly, E, Cederstrand, E, To, I, Hale, J, Kahle, M, Mathot, S, Wase, V, Filipec, V, gedeck, Libiseller-Egger, J and xfz329 (2022). raphaelvallat/pingouin. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.1491783

Van Zandvoort, K, Bobe, MO, Hassan, AI, Abdi, MI, Ahmed, MS, Soleman, SM, Warsame, MY, Wais, MA, Diggle, E, Satzke, C, Mulholland, K, Egeh, MM, Hassan, MM, Hergeeye, MA, Eggo, RM, Checchi, F, Flasche, S and Mcgowan, CR (2022). Social contacts and other risk factors for respiratory infections among internally displaced people in Somaliland. Data and analyses. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5225140

Verboven, L, Phelan, J, Heupink, TH and Van Rie, A (2022). TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis. S1 File. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0279644.s002

Verboven, L, Phelan, J, Heupink, TH and Van Rie, A (2022). TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis. S2 File. [Data Collection]. Github. https://doi.org/10.1371/journal.pone.0279644.s003

Vercammen, A, Lawrance, E and Wray, B (2022). Changing Worlds (US): Psychological responses to the climate crisis in young people and their agency to build the world they hope to see. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/CH3KM

van zandvoort, K, Bobe, MO, Hassan, AI, Abdi, MI, Ahmed, MS, Soleman, SM, Warsame, MY, Wais, MA, Diggle, E, McGowan, CR, Satzke, C, Mulholland, K, Egeh, MM, Hassan, MM, Hergeeye, MA, Eggo, RM, Checchi, F and Flasche, S (2022). kevinvzandvoort/espicc-somaliland-digaale-survey-2019. [Data Collection]. GitHub. https://github.com/kevinvzandvoort/espicc_somaliland_digaale_contact_survey_2019

W

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

Wang, SV, Sreedhara, SK, Schneeweiss, S, Franklin, JM, Gagne, JJ, Huybrechts, KF, Patorno, E, Jin, Y, Lee, M, Mahesri, M, Pawar, A, Barberio, J, Bessette, LG, Chin, K, Gautam, N, Ortiz, AS, Sears, E, Stefanini, K, Zakarian, M, Dejene, S, Rogers, JR, Brill, G, Landon, J, Lii, J, Tsacogianis, T, Vine, S, Garry, EM, Gibbs, LR, Gierada, M, Isaman, DL, Payne, E, Alwardt, S, Arlett, P, Bartels, DB, Bate, A, Berlin, J, Bourke, A, Bradbury, B, Brown, J, Burnett, K, Brennan, T, Chan, KA, Choi, N, de Vries, F, Eichler, H, Filion, KB, Freeman, L, Hallas, J, Happe, L, Hennessy, S, Jónsson, P, Ioannidis, J, Jimenez, J, Kahler, KH, Laine, C, Loder, E, Makady, A, Martin, D, Nguyen, M, Nosek, B, Platt, R, Platt, RW, Seeger, J, Shrank, W, Smeeth, L, Sørensen, HT, Tugwell, P, Uyama, Y, Willke, R, Winkelmayer, W and Zarin, D (2022). Reproducible Evidence: Practices to Enhance and Achieve Transparency (REPEAT). [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/MY5GN

Waterlow, N (2022). NaomiWaterlow/NextGenFlu_Kenya. [Data Collection]. GitHub. https://github.com/NaomiWaterlow/NextGenFlu_Kenya

Waterlow, N (2022). NaomiWaterlow/NhaTrang_flu_rsv_interaction. [Data Collection]. Github. https://github.com/NaomiWaterlow/NhaTrang_flu_rsv_interaction

Webb, E (2022). Combined HIV Adolescent Prevention Study (CHAPS). [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002891.

Webb, E (2022). Combined HIV Adolescent Prevention Study (CHAPS): qualitative survey data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002892.

Weerasuriya, CK (2022). weerasuriya/tbconvax-pcb. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5902656

Weerasuriya, C and Clark, R (2022). lshtm-tbmg/tbvax-pub. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6421372

Weibel, S, Popp, M, Reis, S, Skoetz, N, Garner, P and Sydenham, E (2022). Research Integrity Assessment (RIA) Tool for RCTs in evidence synthesis. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7024698

Weiss, H (2022). Data for: "Menstrual health intervention and school attendance in Uganda (MENISCUS-2): A pilot intervention study". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001521.

Welsh, J, Hounkpatin, H, Gross, MM, Hanson, C and Moller, A (2022). Additional file 2 of Do in-service training materials for midwifery care providers in sub-Saharan Africa meet international competency standards? A scoping review 2000–2020. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21340396.v1

White, S (2022). Interviews and group discussions with crisis and outbreak affected populations in the Democratic Republic of the Congo on handwashing determinants. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19469270.v1

Wick, RR and Holt, KE (2022). Genome details for the simulated-read tests. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s015

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

Wick, RR and Holt, KE (2022). Raw results for the real-read tests. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s019

Wick, RR and Holt, KE (2022). Raw results for the simulated-read tests. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s016

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

Wick, R, kelwyres, Pan, A, Stanton, T, Watts, S and Lee, T (2022). kelwyres/Kaptive-Web. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7039364

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

Woodhouse, M, Aspinall, W, Sparks, R, Brooks-Pollock, E and Relton, CL (2022). Alternative Covid-19 mitigation measures in school classrooms: Analysis using an agent-based model of SARS-CoV-2 transmission. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.pk0p2ngr3

Woodward, A, Fuhr, DC, Barry, AS, Balabanova, D, Sondorp, E, Dieleman, MA, Pratley, P, Schoenberger, SF, Mckee, M, Ilkkursun, Z, Acarturk, C, Burchert, S, Knaevelsrud, C, Brown, FL, Steen, F, Spaaij, J, Morina, N, de Graaff, AM, Sijbrandij, M, Cuijpers, P and Roberts, B (2022). Supplementary materials for "Health system responsiveness to the mental health needs of Syrian refugees: mixed-methods rapid appraisals in eight host countries in Europe and the Middle East ". [Data Collection]. DataverseNL. https://doi.org/10.34894/DOMHPZ

Z

Zhang, J, Pitol, AK, Braun, L, Hazell, L and Templeton, MR (2022). The efficacy of soap against schistosome cercariae: A systematic review. Search results. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010820.s004

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

This list was generated on Thu Nov 21 02:07:19 2024 GMT.