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A
Abbas, KM (2020). vaccine-impact/epi_covid. [Data Collection]. Github. https://github.com/vaccine-impact/epi_covid
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 (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
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 (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
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 Canada Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/2CNKZJ
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 Colombia Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/GI8EVP
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 (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
Abbott, S and Bracher, J (2021). epiforecasts/forecast.vocs. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5559016
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 and Meakin, S (2021). epiforecasts/covid19.nhs.data: Initial release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4447465
Abbott, S, Sherratt, K, Funk, S and Hellewell, J (2020). epiforecasts/covid: Submission release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746396
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
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Bousema, T (2021). Data from: Higher gametocyte production and mosquito infectivity in chronic compared to incident Plasmodium falciparum infections. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.pc866t1n3
Brady, OJ (2018). Microcephaly and potential exposure data in Brazil 2015-2017. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7359197.v1
Brady, OJ (2018). obrady/Brazil_microcepahly_analysis_public. [Data Collection]. Github. https://github.com/obrady/Brazil_microcepahly_analysis_public
Brady, OJ (2024). obrady/CATI_Vietnam. [Data Collection]. Github. https://github.com/obrady/CATI_Vietnam
Brady, OJ and Bastos, L (2019). obrady/Wolbachia_CE. [Data Collection]. Github. https://github.com/obrady/Wolbachia_CE/
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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
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
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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
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 lineage B.1.1.7 in England". [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4562961
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
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
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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
Finger, F, Funk, S, White, K, Siddiqui, MR, Edmunds, WJ and Kucharski, AJ (2019). 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.
Fu, H (2023). hfu915/dynamice_mrmaps. [Data Collection]. Github. https://github.com/hfu915/dynamice_mrmaps
Fu, H and Abbas, KM (2021). lshtm-vimc/dynamice. [Data Collection]. Github. https://github.com/lshtm-vimc/dynamice
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
Funk, S (2019). sbfnk/epimixr. [Data Collection]. Github. https://github.com/sbfnk/epimixr
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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.
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/
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
Gimma, A, Wong, KL, Van Xandvoort, K, Jarvis, CI and Edmunds, WJ (2021). CoMix social contact data (UK). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4905745
Goodfellow, L (2024). lucy-gf/imd-covid. [Data Collection]. Github. https://github.com/lucy-gf/imd-covid
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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
Hodgson, D (2022). dchodge/nambcea. [Data Collection]. Github. https://github.com/dchodge/nambcea
Hodgson, D (2024). dchodge/rsvmabmat. [Data Collection]. GitHub. https://github.com/dchodge/rsvmabmat
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
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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
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, 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
Jung, S, Endo, A, Kinoshita, R and Nishiura, H (2021). SungmokJung/Projection_Japan_COVID19 v1.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4576936
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Khongo, BD, Schmiedeknecht, K, Aron, MB, Nyangulu, PN, Mazengera, W, Ndarama, E, Tenner, AG, Baltzell, K and Connolly, E (2023). BEC Scores data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5956963
Kim, C, Abbas, KM and vaccine-impact (2023). vaccine-impact/vaccine_amr. [Data Collection]. Github. https://github.com/vaccine-impact/vaccine_amr
Kiniry, SJ and Judge, C (2022). skiniry/Trips-Viz. [Data Collection]. Github. https://github.com/skiniry/Trips-Viz
Knight, G (2019). gwenknight/empiricprescribing. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3418998
Koltai, M (2023). mbkoltai/RSV-CEA-Kenya-South-Africa. [Data Collection]. Github. https://github.com/mbkoltai/RSV-CEA-Kenya-South-Africa
Koltai, M (2021). mbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5534762
Krauer, F and Schmid, BV (2021). Datasets and code for "Mapping the plague through natural language processing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4724015
Kucharski, AJ (2021). adamkucharski/covid-import-model. [Data Collection]. Github. https://github.com/adamkucharski/covid-import-model
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
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Lambert, J, Gruson, H, Kucharski, AJ, Gupte, P, Salmon, M, Campos, AV and Monticone, P (2023). epiverse-trace/epiparameter. [Data Collection]. Github. https://github.com/epiverse-trace/epiparameter/
Lambert, J, Gruson, H, Kucharski, AJ and Tamayo Cuartero, C (2024). epiverse-trace/simulist. [Data Collection]. Github. https://github.com/epiverse-trace/simulist
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
Leng, T and Flasche, S (2020). tsleng93/SocialBubble: Social Bubble (including density dependence). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3982789
Liu, Y (2022). yangclaraliu/COVID_Vac_Delay. [Data Collection]. Github. https://github.com/yangclaraliu/COVID_Vac_Delay
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
Liu, Y, Sandmann, F, Barnard, RC, Pearson, CAB, LSHTM CMMID COVID-19 Working Group, Davies, NG and Jit, M (2021). Country Level COVID-19 Vaccination Prioritisation Decision Support Tool for WHO EUR. [Data Collection]. ShinyApps.io. https://yangcliu.shinyapps.io/demo/
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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Mayerová, D and Abbas, KM (2021). d-mayerova/Vaccine_confidence_Albania. [Data Collection]. Github. https://github.com/d-mayerova/Vaccine_confidence_Albania
McCreesh, N (2021). NickyMcC/WithinClinics. [Data Collection]. Github. https://github.com/NickyMcC/WithinClinics
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
Mccreesh, N (2021). NickyMcC/CasualAgeMixing. [Data Collection]. Github. https://github.com/NickyMcC/CasualAgeMixing
Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, van Zandvoort, K, Funk, S and Edmunds, WJ (2021). CoMix - Age structured contact matrices for 9 key periods of the COVID-19 epidemic in England. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4677018
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Nightingale, E (2024). esnightingale/vl-disaggregation. [Data Collection]. Github. https://github.com/esnightingale/vl-disaggregation
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
Nyaguthii, DM, Otieno, GP, Kombe, IK, Koech, D, Mutunga, M, Medley, GF, Nokes, DJ and Munywoki, PK (2021). Replication Data for: Infection patterns of endemic human coronaviruses in rural households in coastal Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CPJ9B4
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O'reilly, KM (2024). Interview Questions for WW Dashboards. [Data Collection]. Zenodo. https://zenodo.org/doi/10.5281/zenodo.11031718
Obolski, U, Perez, PN, Villabona Arenas, J, Thézé, J, Faria, NR and Lourenço, J (2019). MVSE: An R‐package that estimates a climate‐driven mosquito‐borne viral suitability index. [Data Collection]. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13205
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Pavelka, M, van Zandvoort, K, Abbott, S, Sherratt, K, Majdan, M, Jarcuska, P, Krajci, M, Flasche, S and Funk, S (2021). Data and R code accompanying the manuscript "The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4570938
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.
Prem, K (2021). kieshaprem/synthetic-contact-matrices. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4889499
Pung, R (2023). rachaelpung/covid_missed_infections. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7538046
Pung, R (2021). rachaelpung/serial_interval_covid_b.1.617.2. [Data Collection]. Github. https://github.com/rachaelpung/serial_interval_covid_b.1.617.2
Pung, R, Clapham, HE, Russell, TW, Lee, VJ and Kucharski, AJ (2023). Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission: a mathematical modelling study. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7538040
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Qian, GY (2023). GeorgeYQian/Marburg_Branching_Process_Model. [Data Collection]. GitHub. https://github.com/GeorgeYQian/Marburg_Branching_Process_Model
Quevedo, DS, Gupte, P, Gomez, G, Gruson, H, Hartgerink, C, tracelac and Cucunubá, ZM (2023). epiverse-trace/vaccineff: vaccineff 0.0.1. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.11449783
Quilty, B (2021). cmmid/covid_quar_test_import_risk. [Data Collection]. Github. https://github.com/cmmid/covid_quar_test_import_risk
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