Items where research centre is "Centre for the Mathematical Modelling of Infectious Diseases" and year is 2022
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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 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