Abbas, KM (2020). vaccine-impact/epi_covid. [Data Collection]. Github. https://github.com/vaccine-impact/epi_covid

Abbas, KM, Van Zandvoort, K, Brisson, M and Jit, M (2020). Effects of updated demography, disability weights, and cervical cancer burden on estimates of human papillomavirus vaccination impact at the global, regional, and national levels: a PRIME modelling study. [Data Collection]. The Lancet Global Health. https://doi.org/10.1016/S2214-109X(20)30022-X

Abbott, S, Bekker-Nielsen Dunbar, M and Smith, A (2020). seabbs/getTBinR. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2547405

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

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

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

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

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

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

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

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

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

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

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

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/S07EZB

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

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

Abbott, S and Endo, A (2020). idmodelr: Infectious Disease Model Library and Utilities. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=idmodelr

Abbott, S, Funk, S, Munday, JD and Hellewell, J (2020). Pathways to Low Fertility. [Data Collection]. Zenodo, London, United Kingdom. http://doi.org/10.5281/zenodo.3627833

Abbott, S, Funk, S, Munday, JD and Hellewell, J (2020). Wuhan Seeding Vs Transmission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3630424

Abbott, S, Funk, S, Munday, JD and Hellewell, J (2020). epiforecasts/WuhanSeedingVsTransmission: Resubmission to Wellcome Open Research. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3630424

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

Abbott, S, Sherratt, K, Funk, S and Hellewell, J (2020). epiforecasts/covid: Submission release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746396

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

Aldridge, RW, Lewer, D, Beale, S, Johnson, AM, Zambon, M, Hayward, AC and Fragaszy, E (2020). Dataset: Seasonality and immunity to laboratory-confirmed seasonal coronaviruses (HCoV-NL63, HCoV-OC43, and HCoV-229E): results from the Flu Watch cohort study. [Data Collection]. UCL Institute of Health Informatics, London, United Kingdom. https://doi.org/10.14324/000.ds.10093909

Beale, S, Lewer, D, Aldridge, RW, Johnson, AM, Zambon, M, Hayward, A and Fragaszy, E (2020). Household Transmission of Seasonal Coronavirus Infections: Results from the Flu Watch cohort study. [Data Collection]. University College London. https://doi.org/10.5522/04/12383873.v1

Bell, S, Clarke, R, Mounier-Jack, S and Paterson, P (2020). Parents’ and guardians’ views on the acceptability of a future COVID-19 vaccine for themselves and their children: cross-sectional survey and qualitative interview data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001862.

Bower, H, Akpogheneta, O, Kanneh, Z, Jusu, B, Kanneh, L, Alhasan, F, Gbakie, M and Shieffelin, J (2020). Data for: "Boosting understanding of Lassa Fever virus epidemiology: field testing a novel assay to identify past Lassa Fever virus infection in blood and oral fluids of survivors and unexposed controls in Sierra Leone". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001992.

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

Candido, DS, Claro, IM, de Jesus, JG, Souza, WM, Moreira, FRR, Dellicour, S, Mellan, TA, du Plessis, L, Pereira, RHM, Sales, FCS, Manuli, ER, Thézé, J, Almeida, L, Menezes, MT, Voloch, CM, Fumagalli, MJ, Coletti, TM, da Silva, CAM, Ramundo, MS, Amorim, MR, Hoeltgebaum, HH, Mishra, S, Gill, MS, Carvalho, LM, Buss, LF, Prete, CA, Ashworth, J, Nakaya, HI, Peixoto, PS, Brady, OJ, Nicholls, SM, Tanuri, A, Rossi, Átila D., Braga, CK, Gerber, AL, de C. Guimarães, AP, Gaburo, N, Alencar, CS, Ferreira, AC, Lima, CX, Levi, JE, Granato, C, Ferreira, GM, Francisco, RS, Granja, F, Garcia, MT, Moretti, ML, Perroud, MW, Castiñeiras, Terezinha M. P. P., Lazari, CS, Hill, SC, de Souza Santos, AA, Simeoni, CL, Forato, J, Sposito, AC, Schreiber, AZ, Santos, MNN, de Sá, CZ, Souza, RP, Resende-Moreira, LC, Teixeira, MM, Hubner, J, Leme, PAF, Moreira, RG, Nogueira, ML, Ferguson, NM, Costa, SF, Proenca-Modena, JL, Vasconcelos, ATR, Bhatt, S, Lemey, P, Wu, C, Rambaut, A, Loman, NJ, Aguiar, RS, Pybus, OG, Sabino, EC and Faria, NR (2020). Evolution and epidemic spread of SARS-CoV-2 in Brazil. [Data Collection]. Science. https://doi.org/10.1126/science.abd2161

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

Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ogobara, J and Greenwood, B (2020). AZ-SMC Trial - School child parasitaemia dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001934.

Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Cross-sectional dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001932.

Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Drug administration dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001931.

Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O and Ouedraogo, J (2020). AZ-SMC Trial - In vivo treatment efficacy dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001935.

Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Person-Time dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001928.

Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Weekly survey dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001933.

Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). Data repository for AZ-SMC - a trial of seasonal malaria chemoprevention combined with azithromycin in African children. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/data.00001752.

Checchi, F (2020). francescochecchi/aden_covid. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://github.com/francescochecchi/aden_covid

Clifford, S and Quilty, B (2020). cmmid/pcr_test_trace. [Data Collection]. Github. https://github.com/cmmid/pcr_test_trace

Clifford, S, Quilty, BJ, Russell, TW, Liu, Y, Chan, YD, Pearson, CAB, Eggo, RM, Endo, A, CMMID COVID-19 Working Group, Flasche, S and Edmunds, WJ (2020). cmmid/travel_screening_strategies. [Data Collection]. Github. https://github.com/cmmid/travel_screening_strategies

Clifford, S, Quilty, B, CMMID nCoV working group, Pearson, C, Flasche, S and Eggo, RM (2020). Effectiveness of airport-based interventions at detecting travellers and delaying an outbreak of COVID-19 (formerly 2019-nCoV). [Data Collection]. Github. https://github.com/cmmid/screening_outbreak_delay

Colbourn, T, Waites, W, Manheim, D, Sturniolo, S, Kerr, CC, Panovska-Griffiths, J and Colbourn, G (2020). ptti/ptti: Modelling the health and economic impacts of different testing and tracing strategies for COVID-19 in the UK. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4298798

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

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

Cox, SE, White, LV, Faguer, B, Edwards, T, Lee, N, Solon, J, Ariyoshi, K, Castro, MC, Saludar, NR, Saito, N and Calapis, RW (2020). Co-morbidities (malnutrition, diabetes, anaemia, HIV, hypertension) and quality of life in persons with tuberculosis in the Philippines. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11695467.v1

Davies, NG (2020). cmmid/covid-age. [Data Collection]. Github. https://github.com/cmmid/covid-age

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

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

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

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

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

Endo, A, Abbott, S, Kucharski, AJ and Funk, S (2020). akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3741744

Endo, A and Kucharski, AJ (2020). akira-endo/COVID19_backwardtracing. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4050267

Enria, L, Waterlow, N, Rogers, N, Brindle, H, Lal, S, Eggo, RM, Lees, S and Roberts, C (2020). Trust and Transparency in times of Crisis: Results from an Online Survey During the First Wave (April 2020) of the COVID-19 Epidemic in the UK. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001860.

Enria, L, Waterlow, N, Rogers, N, Brindle, H, Lal, S, Eggo, RM, Lees, S and Roberts, C (2020). Trust and Transparency in times of Crisis: Results from an Online Survey During the First Wave (April 2020) of the COVID-19 Epidemic in the UK - Qualitative Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001859.

Fabian, ID, Stacey, A, Foster, A, Kivelä, TT, Munier, F, Cassoux, N and Bowman, R (2020). Global Retinoblastoma Presentation 2017 data, on behalf of the Global Retinoblastoma Study Group. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3727687

Fielding, K (2020). Data set for the comparison of the performance of QuantiFERON-TB Gold Plus with QuantiFERON-T Gold in-tube among highly TB exposed gold miners in South Africa. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001891.

Flasche, S (2020). StefanFlasche/Pneumo_Trans_Inf. [Data Collection]. Github. https://github.com/StefanFlasche/Pneumo_Trans_Inf

Frison, S (2020). Wasting prevention CHNRI dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001552.

Funk, S and Finger, F (2020). sbfnk/rbi.helpers. [Data Collection]. Github. https://github.com/sbfnk/rbi.helpers

Gibbs, H, Abbott, S and Funk, S (2020). RtD3. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4011841

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

Glynn, J (2020). Systematic analysis of infectious disease outcomes by age. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001787.

Gon, G (2020). CLEAN study dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001937.

Gon, G (2020). Data for "HANDS project - Hand-hygiene of Attendants for Newborn Deliveries and Survival". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001945.

Hellewell, J (2020). cmmid/ringbp. [Data Collection]. Github. https://github.com/cmmid/ringbp

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

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

Hellewell, J, Russell, TW, The SAFER Investigators and Field Study Team, The Crick COVID-19 Consortium, CMMID COVID-19 working group, Beale, R, Kelly, G, Houlihan, C, Nastouli, E and Kucharski, AJ (2020). cmmid/pcr-profile. [Data Collection]. Github. https://github.com/cmmid/pcr-profile

Hughes, R, Kitsao-Wekulo, P, Bhopal, S, Kimani-Murage, E, Hill, Z and Kirkwood, B (2020). The Nairobi Early Childcare in Slums (NECS) Study. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001780.

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

Jombart, T, Abbott, S, Gimma, A, Zandvoort, K, Clifford, S, Jarvis, C, Russell, T, Funk, S, Gibbs, H, Eggo, RM, Kucharski, AJ, CMMID COVID-19 Working Group and Edmunds, WJ (2020). Inferring COVID-19 cases from deaths of confirmed cases. [Data Collection]. CMMID Repository. https://cmmid.github.io/visualisations/inferring-covid19-cases-from-deaths

Jombart, T, Clifford, S, Pearson, Carl A. B. Pearson, Rees, E, Nightingale, E, Procter, S and Knight, G (2020). thibautjombart/covid19_bed_occupancy: Second major release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746662

Jombart, T, Kamvar, ZN, Collins, C, Luštrik, R, Beugin, M, Knaus, BJ, Solymos, P, Mikryukov, V, Schliep, K, Maié, T, Morkovsky, L, Ahmed, I, Cori, A, Calboli, F, Ewing, R, Michaud, F, DeCamp, R and Courtiol, A (2020). adegenet: Exploratory Analysis of Genetic and Genomic Data. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/web/packages/adegenet/

Jombart, T, Nouvellet, P, Bhatia, S, Kamvar, ZN, Taylor, T and Ghozzi, S (2020). projections: Project Future Case Incidence. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=projections

Jombart, T and Schumacher, D (2020). trendbreaker 0.1.0: Detect Changes in Temporal Trends. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3888493

Kanjala, C, Glynn, JR and Fine, P (2020). Effect of repeat BCG on all-cause mortality: a double-blind randomised placebe-controlled trial in Malawi. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001872.

Kissler, SM, Klepac, P, Tang, M, Conlan, AJ and Gog, JR (2020). skissler/haslemere. [Data Collection]. Github. https://github.com/skissler/haslemere

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

Koltai, M (2020). sysbio-curie/exact-stoch-log-mod. [Data Collection]. GitHub. https://github.com/sysbio-curie/exact-stoch-log-mod

Krug, C, Lynch, C, Cavallaro, F and Wong, K (2020). Evaluating the informed push model intervention in Senegal. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001570.

Kucharski, AJ, Russell, TW, Diamond, C, CMMID nCoV working group, Funk, S and Eggo, RM (2020). Probability of a large 2019-nCoV outbreak following introduction of cases. [Data Collection]. Github. https://cmmid.github.io/visualisations/new-outbreak-probability

Lawn, JE, Waiswa, P, Waiswa, JA, Kwesiga, D, Blencowe, H, Baschieri, A, Gordeev, VS and EN-INDEPTH Collaborator Group (2020). Every Newborn INDEPTH (EN-INDEPTH) Study - Additional Materials. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001556.

Lazarus, JV, Ratzan, S, Palayew, A, Billari, FC, Binagwaho, A, Kimball, S, Larson, HJ, Melegaro, A, Rabin, K, White, TM and El-Mohandes, A (2020). COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10). [Data Collection]. PLoS One. https://doi.org/10.1371/journal.pone.0240011

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

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

Leng, T and Flasche, S (2020). tsleng93/SocialBubble: Social Bubble (including density dependence). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3982789

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

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

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

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

Liu, Y, Gong, W, Clifford, S, Sundaram, ME, CMMID COVID-19 Working Group, Jit, M, Flasche, S and Klepac, P (2020). yangclaraliu/covid_surveillance_strategy: WOR Submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4017353

Mcdonald, H, Evans, D, Clay, S, Edelstein, M and Thomas, S (2020). Clinical risk groups for Pneumococcal Polysaccharide Vaccine. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001659.

Mcdonald, H, Evans, D, Clay, S, Edelstein, M and Thomas, S (2020). Immunisation risk group - Cardiac disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001661.

Mcdonald, H, Evans, D, Clay, S, Edelstein, M and Thomas, S (2020). Immunisation risk group - Diabetes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001665.

Mcdonald, H, Evans, D, Clay, S, Edelstein, M and Thomas, S (2020). Immunisation risk group - chronic kidney disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001664.

Mcdonald, H, Evans, D, Clay, S, Edelstein, M and Thomas, S (2020). Immunisation risk group - chronic respiratory disease without asthma. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001663.

Mcdonald, H, Evans, D, Clay, S, Edelstein, M and Thomas, S (2020). Immunisation risk group - liver disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001662.

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

Mpairwe, H and Webb, E (2020). SONA Project - Anxiety Disorders and Asthma Dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001893.

Mpairwe, H and Webb, E (2020). SONA project - Risk factors for allergy-related diseases among schoolchildren in Uganda. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001761.

Mudzengi, D, Sweeney, S, Hippner, P, Kufa, T, Fielding, K, Grant, AD, Churchyard, GJ and Vassall, A (2020). The patient costs of care for those with TB and HIV: a cross-sectional study from South Africa. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001593.

Naker, K (2020). Mongolia MDR-TB contact e-registry ODK 2017. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/N925X

Nampijja, M, Lubyayi, L, Tumusiime, J, Nabulime, J, Kizindo, R, Kabuubi, P, Sanya, RE, Kabagenyi, J, Akurut, H, Muhangi, L, Webb, EL, Alcock, K, Elliott, AM and LaVIISWA Trial Team (2020). Effect of intensive versus standard anthelminthic treatment on growth and cognition among children living in a high Schistosoma mansoni transmission setting - Supporting Information. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001895.

Nash, S, Thompson, J and Leurent, B (2020). CLAN: Stata module to perform cluster-level analysis of cluster randomised trials. [Data Collection]. Statistical Software Components S458844, Boston College Department of Economics. https://ideas.repec.org/c/boc/bocode/s458844.html

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

Nyundo, C, Doyle, AM, Walumbe, D, Otiende, M, Kinuthia, M, Amadi, D, Jibendi, B, Mochamah, G, Kihuha, N, Williams, T, Ross, DA and Bauni, E (2020). Supplementary files 2 and 3 for "Linking health facility data from young adults aged 18-24 years to longitudinal demographic data: Experience from The Kilifi Health and Demographic Surveillance System". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11880657.v2

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

Oliveira, JFd, Pescarini, JM, Rodrigues, MdS, Almeida, BdA, Henriques, CMP, Gouveia, FC, Rabello, ET, Matta, GC, Barreto, ML and Sampaio, RB (2020). The global scientific research response to the public health emergency of Zika virus infection. S1 Data. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0229790.s005

Oswald, WE, Kennedy, DS, Farzana, J, Kaliappan, SP, Atindegla, E, Houngbégnon, P, Chisambi, A, Witek-mcmanus, S, Galagan, SR, Emmanuel-Fabula, M, Gwayi-Chore, M, Legge, H, Yard, E, Kalua, K, Ibikounlé, M, Ajjampur, SSR, Means, AR, Ásbjörnsdóttir, KH, Halliday, KE and Walson, JL (2020). deworm3 Electronic Treatment Register. [Data Collection]. Github. https://github.com/williameoswald/deworm3_etr

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

Paradis, E, Kamvar, ZN, Jombart, T, Brian, K and Frederic, M (2020). pegas: Population and Evolutionary Genetics Analysis System. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3647668

Pearson, CAB, Van zandvoort, K, Jarvis, CI, Davies, NG, Thompson, S, Checchi, F, Jit, M, Eggo, RM and LSHTM CMMID COVID-19 Working Group (2020). Projections of COVID-19 epidemics in LMIC countries. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001564.

Peppa, M, Thomas, S, Kempley, S and Mangtani, P (2020). Clinical codelist - Congenital malformation codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001623.

Peppa, M, Thomas, S, Kempley, S and Mangtani, P (2020). HES diagnosis codelist - Congenital malformation codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001624.

Peppa, M, Thomas, S, Kempley, S and Mangtani, P (2020). HES procedures codelist - Congenital malformation codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001625.

Prem, K, Liu, Y, Russell, TW, Kucharski, AJ, Eggo, RM, Davies, NG, Jit, M, Klepac, P, Flasche, S, Clifford, S, Pearson, CAB, Munday, JD, Abbott, S, Gibbs, H, Rosello, A, Quilty, BJ, Jombart, T, Sun, F, Diamond, C, Gimma, A, Van zandvoort, K, Funk, S, Jarvis, CI, Edmunds, WJ, Bosse, NI and Hellewell, J (2020). Age-structured SEIR model for COVID-19 outbreak in Wuhan, China. [Data Collection]. Github. https://github.com/kieshaprem/covid19-agestructureSEIR-wuhan-social-distancing

Ratnayake, R (2020). ruwanepi/Detection-analysis. [Data Collection]. Github. https://github.com/ruwanepi/Detection-analysis

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

Robert, A (2020). geosocial-outbreaker: Integrating geographical and social contact data to reconstruct transmission chains. [Data Collection]. Github. https://github.com/alxsrobert/o2geosocial

Robert, A, Funk, S and Kucharski, AJ (2020). o2geosocial. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4317439

Russell, TW, Golding, N, Hellewell, J, Abbott, S, Pearson, CAB, Van zandvoort, K, Jarvis, CI, Gibbs, H, Liu, Y, Eggo, RM, Edmunds, WJ, Kucharski, AJ and CMMID COVID-19 working group (2020). Reconstructing the global dynamics of unreported COVID-19 cases and infections. [Data Collection]. Github. https://github.com/thimotei/covid_underreporting

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

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

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

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

Stubbs, S (2020). Crimean-congo haemorrhagic fever virus detected in Rhipicephalus ticks feeding on cattle in an abattoir, Uganda. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4282998

Sturt, A, Bustinduy, A and Phiri, C (2020). BILHIV acceptability dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001618.

Sumner, T (2020). tomsumner/Latency_Model_Comparison_Public. [Data Collection]. Github. https://github.com/tomsumner/Latency_Model_Comparison_Public

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

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

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

Thomas, S (2020). Code lists for: "Social determinants of pertussis and influenza vaccine uptake in pregnancy: a national cohort study using electronic health records". [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001907

Thomas, S (2020). Influenza clinical risk groups 2017 version - Asthma. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001897.

Thomas, S (2020). Influenza clinical risk groups 2017 version - Chronic cardiac conditions. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001903.

Thomas, S (2020). Influenza clinical risk groups 2017 version - Chronic renal disease diagnoses. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001904.

Thomas, S (2020). Influenza clinical risk groups 2017 version - Chronic respiratory disease (not asthma). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001902.

Thomas, S (2020). Influenza clinical risk groups 2017 version - Diabetes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001905.

Thomas, S (2020). Influenza risk groups 2017 version - Chronic liver disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/data.00001906.

Thompson, J (2020). Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study. [Data Collection]. Zenodo. https://zenodo.org/10.5281/zenodo.4049828

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

Webb, E and Nampijja, M (2020). LaVIISWA Round 1 and 2 Dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001802.

Willem, L, Hoang, VT, Funk, S, Coletti, P, Beutels, P and Hens, N (2020). Social Contact Rates (SOCRATES) Data Tool. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3706787

Willem, L, Xiao, L, Antillon, M, Bilcke, J, Jit, M and Beutels, P (2020). Multi-Country Model Application for RSV Cost-Effectiveness Policy (McMarcel). [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3663447

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

Xu, Y, Stockdale, JE, Naidu, V, Hatherell, H, Stimson, J, Stagg, HR, Abubakar, I and Colijn, C (2020). Transmission analysis of a large TB outbreak in London: a mathematical modelling study using genomic data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12413012.v1

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