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Abaasa, A and Bahemuka, U (2024). Data for: "COVID-19 vaccine roll-out in Uganda: a case study of uptake and associated factors among health care workers and older people". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003735.
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 (2021). Continent Summary Reproduction Number (R) Based on Reported Cases. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/F9HVNL
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 Admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/0NYGXE
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 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 Funk, S (2021). epiforecasts/covid19.sgene.utla.rt. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5236661
Abbott, S and Fyles, M (2021). martyn1fyles/HouseholdContactTracing. [Data Collection]. Github. https://github.com/martyn1fyles/HouseholdContactTracing
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, Hellewell, J, Sherratt, K, Gostic, K, Hickson, J, Badr, HS, DeWitt, M, Azam, JM, EpiForecasts and Funk, S (2024). EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.13828203
Abbott, S, Hickson, J, Badr, HS, Funk, S, Monticone, P, Ellis, P, Munday, JD, Allen, J, Pearson, CAB, DeWitt, M, Bosse, N and Meakin, S (2021). epiforecasts/EpiNow2. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3957489
Abbott, S and Meakin, S (2021). epiforecasts/covid19.nhs.data: Initial release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4447465
Abbott, S and Sherratt, K (2022). seabbs/ecdc-weekly-growth-forecasts. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7189620
Abbott, S, Sherratt, K and Funk, S (2021). Real-time estimation of the time-varying transmission advantage of Omicron in England using S-Gene Target Status as a Proxy. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5799135
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
Abdelmagid, N, Ahmed, SAE, Nurelhuda, N, Zainalabdeen, I, Ahmed, A, Fadlallah, MA and Dahab, M (2021). Additional file 1 of Acceptability and feasibility of strategies to shield the vulnerable during the COVID-19 outbreak: a qualitative study in six Sudanese communities. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14795156.v1
Aburto, JM (2022). jmaburto/ex_USA_racial-ethnic_differences. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6402403
Aburto, JM, Schöley, J, Kashnitsky, I, Knowles, I, Zhang, L, Rahal, C, Missov, TI, Dowd, JB, Mills, MC and Kashyap, R (2021). Code to replicate "Quantifying impacts of the COVID-19 pandemic through life expectancy losses". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4556982
Adetifa, IMO, Uyoga, S, Gitonga, JN, Mugo, D, Otiende, M, Nyagwange, J, Karanja, HK, Tuju, J, Wanjiku, P, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng’ang’a, W, Rombo, C, Yegon, C, Kithi, K, Odhiambo, E, Rotich, T, Orgut, I, Kihara, S, Bottomley, C, Kagucia, EW, Gallagher, KE, Etyang, A, Voller, S, Lambe, T, Wright, D, Barasa, E, Tsofa, B, Bejon, P, Ochola-Oyier, LI, Agweyu, A, Scott, JAG and Warimwe, GM (2021). Replication Data for: Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/FQUNVD
Adeyemi, OO, Ndodo, ND, Sulaiman, MK, Ayansola, OT, Buhari, OIN, Akanbi, OA, Bolarinwa, OA, Chukwu, C, Joel, IY, Omoare, AA, Wahab, KW, Obiekea, C, Buhari, MO, Ahumibe, A, Kolawole, CF, Okoi, C, Omotesho, OB, Mba, N, Adeniyi, O, Babatunde, O, Akintunde, N, Ayinla, G, Akande, OW, Odunola, RA, Saka, MJ, Musa, OI, Durotoye, IA, Ihekweazu, C, Adetifa, IM and Fadeyi, A (2023). SARS-CoV-2 variants-associated outbreaks of COVID-19 in a tertiary institution, North-Central Nigeria: Implications for epidemic control. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0280756.s003
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
Asi, YM, Bebasari, P, Hardy, E, Lokot, M, Meagher, K, Ogbe, E, Parray, AA, Sharma, V, Standley, CJ and Vahedi, L (2022). Additional file 1 of Assessing gender responsiveness of COVID-19 response plans for populations in conflict-affected humanitarian emergencies. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19174573.v1
Assefa, N, Demissie, L, Teklemarriam, Z, Oundo, JO, Madrid, L, Dessie, Y and Scott, JAG (2021). Replication Data for: Seroprevalence of anti–SARS-CoV-2 antibodies in women attending antenatal care in eastern Ethiopia. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/XIWCXN
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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Balogun, M, Banke-Thomas, A, Sekoni, A, Boateng, GO, Yesufu, V, Wright, O, Ubani, O, Abayomi, A, Afolabi, BB and Ogunsola, F (2021). Dataset of 1241 clients of RMNCH services during the COVID-19 outbreak in Lagos. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0251382.s002
Barnard, RC (2022). rosannaclairebarnard/covidm-mtd-Omi. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6806636
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 and experiences of accessing routine childhood vaccinations in England during the coronavirus (COVID-19) pandemic: cross-sectional survey and qualitative interview data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001861.
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.
Bell, S, Clarke, R, Mounier-Jack, S, Paterson, P, Ismail, S and Ojo-Aromokudu, O (2021). COVID-19 vaccination beliefs, attitudes, and behaviours among health and social care workers in the UK: Survey dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002525.
Besançon, L, Deforet, M, Leyrat, C, Segalas, C, Jiang, H and Masuzzo, P (2020). Open Science during the pandemic. [Data Collection]. OSF. https://osf.io/renxy/
Bhaskaran, K and Inglesby, P (2021). opensafely/covid-vs-noncovid-deaths-research. [Data Collection]. Github. https://github.com/opensafely/covid-vs-noncovid-deaths-research
Bosse, NI, Abbott, S, Bracher, J, Van leeuwen, E, Cori, A and Funk, S (2023). Data for "Human judgement forecasting of COVID-19 in the UK" by Bosse et. al (2023). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7897288
Bosse, N, Bracher, J, Abbott, S and Funk, S (2023). epiforecasts/transformation-forecast-evaluation. [Data Collection]. Github. https://github.com/epiforecasts/transformation-forecast-evaluation
Bracher, J, Wolffram, D, Deuschel, J, Görgen, K, Ketterer, J, Ullrich, A, Abbott, S, Barbarossa, M, Bertsimas, D, Bhatia, S, Bodych, M, Bosse, NI, Burgard, J, Castro, L, Fairchild, G, Fuhrmann, J, Funk, S, Gogolewski, K, Gu, Q, Heyder, S, Hotz, T, Kheifetz, Y, Kirsten, H, Krueger, T, Krymova, E, Li, M, Meinke, J, Michaud, I, Niedzielewski, K, Ożański, T, Rakowski, F, Scholz, M, Soni, S, Srivastava, A, Zieliński, J, Zou, D, Gneiting, T and Schienle, M (2021). KITmetricslab/covid19-forecast-hub-de. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4439666
Brand, S and Ojal, J (2021). ojal/KenyaSerology. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4705243
Bresser, M, Erhardt, R, Shanaube, K, Simwinga, M, Mahlatsi, P, Belus, J, Schaap, A, Amstutz, A, Gachie, T, Glass, T, Kangolo, B, Mota, M, Floyd, S, Katende, B, Klinkenberg, E, Ayles, H, Reither, K and Ruperez, M (2023). Evaluation of COVID-19 antigen rapid diagnostic tests for self-testing in Lesotho and Zambia - Lesotho data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8429840
Bresser, M, Erhardt,, R, Shanaube, K, Simwinga, M, Mahlatsi, P, Belus, J, Schaap, A, Amstutz, A, Gachie, T, Glass, T, Kangolo, B, Mota, M, Floyd, S, Katende, B, Klinkenberg, E, Ayles, H, Reither, K and Ruperez, M (2023). Evaluation of COVID-19 antigen rapid diagnostic tests for self-testing in Lesotho and Zambia - Zambia data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8426699
Burke, R (2021). rachaelmburke/tbcovidblantyre. [Data Collection]. Github. https://github.com/rachaelmburke/tbcovidblantyre
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Campbell, J (2023). Codelists for: "Covid-19 during pregnancy and risk of miscarriage or stillbirth: A matched cohort study using English electronic health data". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003323.
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
Chapman, LAC, Barnard, RC, Russell, TW, Abbott, S, Van Zandvoort, K, Davies, NG and Kucharski, AJ (2021). Unexposed populations and potential COVID-19 burden in European countries as of 21st November 2021. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5772162
Chapman, LAC (2021). LloydChapman/COVID_homeless_modelling. [Data Collection]. Github. https://github.com/LloydChapman/COVID_homeless_modelling
Chapman, LA, Aubry, M, Maset, N, Russell, T, Knock, ES, Lees, JA, Mallet, H, Cao-Lormeau, V and Kucharski, AJ (2023). Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7790839
Checchi, F (2020). francescochecchi/aden_covid. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://github.com/francescochecchi/aden_covid
Checchi, F (2022). francescochecchi/mortality_capture_recapture_analysis. [Data Collection]. Github. https://github.com/francescochecchi/mortality_capture_recapture_analysis
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, J, Beutels, P and Hens, N (2020). Social contact data from CoMix survey (Belgium). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4035001
Costello, R and Henderson, A (2024). opensafely/covid_collateral_imd. [Data Collection]. Github. https://github.com/opensafely/covid_collateral_imd
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Davidson, J (2022). Clinical codelist - CPRD Aurum - COVID-19. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002801.
Davidson, J (2022). Clinical codelist - HES - COVID-19. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002800.
Davies, NG (2021). CSV-format data for: Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5105920
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, 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
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
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Kitonsa, J, Kamacooko, O, Bahemuka, UM, Kibengo, F, Kakande, A, Wajja, A, Basajja, V, Lumala, A, Ssemwanga, E, Asaba, R, Mugisha, J, Pierce, BF, Shattock, R, Kaleebu, P and Ruzagira, E (2021). Survey data on willingness to participate in COVID-19 vaccine trials among healthcare workers in three Ugandan hospitals. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002168.
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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
Pry, J, Simbeza, S, Geng, E, Mutale, J, Sikombe, K, Jere, L, Bukankala, C and Beres, L (2023). Depression among healthcare workers in Lusaka, Zambia during the COVID-19 pandemic. [Data Collection]. Dryad. https://doi.org/10.25338/B8S646
Pung, R (2023). rachaelpung/covid_missed_infections. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7538046
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Quaife, M (2020). mquaife/kenya_mixing. [Data Collection]. Github. https://github.com/mquaife/kenya_mixing
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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
Roberts, C, Brindle, H, Rogers, N, Eggo, RM, Enria, L and Lees, S (2021). Data for: "Vaccine Confidence and Hesitancy at the start of COVID-19 vaccine deployment in the UK: An embedded mixed-methods study". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002337.
Roberts, C, Rogers, N, Waterlow, N, Brindle, H, Enria, L and Lees, S (2021). Behavioural change towards reduced intensity physical activity is disproportionately prevalent among adults with serious health issues or self-perception of high risk during the UK COVID-19 lockdown. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002091.
Roca, A, Janha, R, Bah, A, Jah, H, Tourey, F, Idris, Y, Keita, S, Gaye, Y, Jallow, S, Faye-joof, T, Njie, B, Craik, R, Mohammed, N, von Dadelszen, P and D’alessandro, U (2024). SARS-CoV-2 Seroprevalence in The Gambia dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003754.
Rosello, A, Abbott, S and Barnard, RC (2021). rmjlros/COVID19_care_home_NPIs. [Data Collection]. Github. https://github.com/rmjlros/COVID19_care_home_NPIs
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Sahani, MK, Mayhew, S and Hamuli, RP (2023). Data for: "Humanitarian sector (international non-governmental organisations) support to the community in Goma city/DRC during the COVID-19 pandemic period: expectations and reality". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003630.
Schöley, J, Aburto, JM, Kashnitsky, I, Kniffka, MS, Zhang, L, Jaadla, H, Dowd, JB and Kashyap, R (2022). Data for Figures and Tables in "Bounce backs amid continued losses: Life expectancy changes since COVID-19". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6224375
Schöley, J, Aburto, JM, Kashnitsky, I, Kniffka, MS, Zhang, L, Jaadla, H, Dowd, JB and Kashyap, R (2022). Life table data for "Bounce backs amid continued losses: Life expectancy changes since COVID-19". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6241024
Scortichini, M, Schneider dos santos, R, De' Donato, De Sario, M, Michelozzi, P, Davoli, M, Masselot, P, Sera, F and Gasparrini, A (2020). gasparrini/ItalyCOVIDdeath. [Data Collection]. Github. https://github.com/gasparrini/ItalyCOVIDdeath
Seeley, J and Manyaapelo, T (2022). The impact of COVID-19 on older people in a rural district of KwaZulu-Natal, South Africa. [Data Collection]. Africa Health Research Institute. https://doi.org/10.23664/AHRI.COVID-19.AND.OLDER.PEOPLE.STUDY.INTERVIEW.DATA.MATRIX
Sera, F, Abbott, S and Roye, D (2021). fsera/COVIDWeather. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.5281/zenodo.5215841
Sherratt, K (2020). epiforecasts/rt-comparison-uk-public: v1.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4029074
Sherratt, K and Funk, S (2022). covid19-forecast-hub-europe/euro-hub-ensemble: Zenodo release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6895699
Simons, D (2021). DidDrog11/smoking_covid_bayes. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4002046
Simons, D, Shahab, L, Brown, J and Perski, O (2021). The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 11) - Data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4002046
Simons, D, Shahab, L, Brown, J and Perski, O (2020). The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 9) - Data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12756020.v4
Strongman, H and Carreira, H (2021). STATA Do files for "Factors associated with excess mortality in the first wave of COVID-19 pandemic in the UK: a cohort analysis using the Clinical Practice Research Databank". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002560.
Szekely, A, Gon, G, Lowe, H and Tosi, M (2022). Hand Hygiene Social Norms among Healthcare Workers During Early COVID-19: Results of a Global Survey. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/AYKGH
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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.
Tomlinson, LA, Iwagami, M, Bidulka, P and Wong, AY (2020). Supplementary data for “Comparisons of Staphylococcus aureus infection and other outcomes between users of angiotensin-converting-enzyme inhibitors and angiotensin II receptor blockers: lessons for COVID-19 from a nationwide cohort study”. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/PUBS.04656578.
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University of Glasgow, MRC/CSO Social and Public Health Sciences, University College London and London School of Hygiene and Tropical Medicine (2021). National Survey of Sexual Attitudes and Lifestyles COVID-19 Study, 2020. [Data Collection]. UK Data Service. http://doi.org/10.5255/UKDA-SN-8865-1
Uyoga, S, Adetifa, IM, Otiende, M, Gitonga, JN, Mugo, D, Nyagwange, J, Karanja, HK, Tuju, J, Makale, J, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng’ang’a, W, Chege, E, Yegon, C, Kithi, K, Odhiambo, E, Rotich, T, Orgut, I, Kihara, S, Bottomley, C, Kagucia, EW, Gallagher, KE, Etyang, A, Voller, S, Lambe, T, Wright, D, Barasa, E, Tsofa, B, Mwangangi, J, Bejon, P, Ochola-Oyier, LI, Warimwe, GM, Agweyu, A and Scott, JAG (2021). Replication Data for: Prevalence of SARS-CoV-2 Antibodies from a one-year National Serosurveillance of Kenyan Blood Transfusion Donors. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/3E1YSQ
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Van Zandvoort, K and Checchi, F (2023). Shielding individuals at high risk of COVID-19: a micro-simulation study. Model and analyses. [Data Collection]. Github. https://doi.org/10.5281/zenodo.7740538
Vercammen, A, Lawrance, E and Wray, B (2022). Changing Worlds (US): Psychological responses to the climate crisis in young people and their agency to build the world they hope to see. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/CH3KM
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Walker, J, Grint, D, Strongman, H, Eggo, RM, Peppa, M, Minassian, C, Mansfield, KE, Rentsch, C, Douglas, IJ, Mathur, R, Wong, A, Quint, JK, Andrews, N, Lopez-bernal, J, Scott, A, Ramsay, M, Smeeth, L and McDonald, H (2020). UK prevalence of risk factors for severe COVID-19 disease, by age and region: point prevalence estimates in 2019 and 2014, using electronic health records. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001833.
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
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
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
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Wu, JT, Mei, S, Luo, S, Leung, K, Liu, D, Lv, Q, Liu, J, Li, Y, Prem, K, Jit, M, Weng, J, Feng, T, Zheng, X and Leung, GM (2021). Table S4 from A global assessment of the impact of school closure in reducing COVID-19 spread. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16851696.v1
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Yakob, L (2021). lwyakob/COVIDquarantine. [Data Collection]. Github. https://github.com/lwyakob/COVIDquarantine
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Zheng, B (2023). Anaphylaxis events following COVID-19 antiviral and neutralising monoclonal antibody treatment for non-hospitalised patients. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8144334
Zheng, B and lshbz1 (2023). opensafely/Paxlovid-and-sotrovimab. [Data Collection]. Github. https://github.com/opensafely/Paxlovid-and-sotrovimab