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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 (2021). Local Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UIM3MB

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (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

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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 (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Belgium Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/NALGQJ

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

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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 (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for South Africa Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/17XS9I

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

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

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

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

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Emery, JC, Dodd, PJ, Banu, S, Frascella, B, Garden, FL, Horton, KC, Hossain, S, Law, I, van Leth, F, Marks, GB, Nguyen, HB, Nguyen, HV, Onozaki, I, Quelapio, MID, Richards, AS, Shaikh, N, Tiemersma, EW, White, RG, Zaman, K, Cobelens, F and Houben, RM (2023). epidemery/subclinical_transmission. [Data Collection]. GitHub. https://github.com/epidemery/subclinical_transmission

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

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

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

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

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Gaskell, KM, Johnson, M, Gould, V, Hunt, A, Stone, NR, Waites, W, Kasstan, B, Chantler, T, Lal, S, Roberts, Ch, Goldblatt, D, Eggo, RM and Marks, M (2021). Extremely high SARS-CoV-2 seroprevalence in a strictly-Orthodox Jewish community in the UK. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002084.

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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

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Jarvis, C, Van zandvoort, K, Gimma, A, Prem, K, CMMID, Cwg, Klepac, P, Rubin, GJ and Edmunds, WJ (2020). Contact survey during COVID-19. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3741391

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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

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Liu, Y, Procter, SR, Pearson, CAB, Madriz Montero, A, Torres-Rueda, S, Asfaw, E, Uzochukwu, B, Drake, T, Bergren, E, Eggo, RM, Ruiz, F, Ndembi, N, Nonvignon, J, Jit, M and Vassall, A (2023). yangclaraliu/covid_vac_africa: BMCMed_R3. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7618748

Liu, Y, Sandmann, FG, Barnard, RC, Pearson, CA, CMMID Working-19 Working Group, Pastore, R, Pebody, R, Flasche, S and Jit, M (2021). Optimising health and economic impacts of COVID-19 vaccine rollout strategies in the WHO European Region. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4964148

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Lotto Batista, M, Rees, EM, Gómez, A, López, S, Castell, S, Kucharski, AJ, Ghozzi, S, Müller, GV and Lowe, R (2023). Data and R-code to accompany 'Towards an Early Warning System for Leptospirosis in North-Eastern Argentina'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7865638

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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.

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Quilty, B (2021). cmmid/quar_test_contact_tracing. [Data Collection]. Github. https://github.com/cmmid/quar_test_contact_tracing

R

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

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 and Suffel, AM (2024). alxsrobert/measles_england_sir. [Data Collection]. Github. https://github.com/alxsrobert/measles_england_sir

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

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, 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

S

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

Sherratt, K, Abbott, S, Carnegie, A and Liu, Y (2023). Improving modelling for epidemic responses: reflections. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/4JNCB

Sumner, T (2018). Mathematical model projections for: "Application of provincial data in mathematical modelling to inform sub-national tuberculosis program decision-making in South Africa". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000950.

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

V

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

Wang, SY, Stark, A, Evan Ray, Bosse, N, Reich, NG, Sherratt, K, Shah, A, Wattanachit, N, Khoale1096, Huang, YD, Gerding, A, Gruson, H, Cramer, E, Shandross, L, Abbott, S and Funk, S (2021). reichlab/covidHubUtils. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5207939

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

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

Y

Yakob, L and Nightingale, E (2020). lwyakob/COVIDsaturates. [Data Collection]. Github. https://github.com/lwyakob/COVIDsaturates