Data Collection

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

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 (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

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

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

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

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

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

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

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

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

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