Data Collection

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

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

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

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

Daynes, E, Baldwin, M, Greening, NJ, Yates, T, Bishop, NC, Mills, G, Roberts, M, Hamrouni, M, Plekhanova, T, Vogiatzis, I, Echevarria, C, Nathu, R, McAuley, HJC, Latimer, L, Glennie, J, Chambers, F, Penfold, R, Hume, E, Megaritis, D, Alexiou, C, Potthoff, S, Hogg, MJ, Haighton, C, Nichol, B, Leavy, OC, Richardson, M, Elneima, O, Singapuri, A, Sereno, M, Saunders, RM, Harris, VC, Nolan, CM, Bolton, C, Houchen-Wolloff, L, Harrison, EM, Lone, N, Quint, J, Chalmers, JD, Ho, L, Horsley, A, Marks, M, Poinasamy, K, Ramen, B, Wain, LV, Brightling, C, Man, WD, Evans, R and Singh, SJ (2023). Supplementary information files for The effect of COVID rehabilitation for ongoing symptoms post hospitalisation with COVID-19 (PHOSP-R): protocol for a randomised parallel group controlled trial on behalf of the PHOSP consortium. [Data Collection]. Loughborough University. https://doi.org/10.17028/rd.lboro.22189279.v1

De Figueiredo, A (2021). Global intent to accept COVID-19 vaccines. [Data Collection]. OSF. https://osf.io/8vezs

Dobreva, Z, Gimma, A, Rohan, H, Djoudalbaye, B, Tshangela, A, Jarvis, CI, Van Zandvoort, K and Quaife, M (2022). Additional file 1 of Characterising social contacts under COVID-19 control measures in Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21316250.v1

Durán, CE, Messina, D, Gini, R, Riefolo, F, Aragón, M, Belitser, S, Bissacco, CA, Bots, SH, de Burgos, A, Carreras-Martínez, JJ, Correcher-Martínez, E, Douglas, IJ, Garcia-Poza, P, Girardi, A, Herings, R, Hoxhaj, V, Huerta, C, Hyeraci, G, Ientile, V, Ingrasciotta, Y, Limoncella, G, Lupattelli, A, Maglanoc, L, Martin, I, Martin, M, Mira-Iglesias, A, Mohammadi, S, Molero, E, Nordeng, H, Oberski, D, Overbeek, J, Pallejà, M, Riera-Arnau, J, Santacà, K, Siiskonen, S, Souverein, P, Schultze, A, Swart, K, Trifirò, G, Urchueguía, A, Villalobos, F, Weibel, D, Zhao, J, Klungel, O and Sturkenboom, M (2023). Rapid Safety Assessment of SARS-CoV-2 Vaccines in EU Member States using Electronic Health Care Data Sources (COVID Vaccine Monitor-CVM study): Final Study Report for WP3 (electronic health record data). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.10093613

Endo, A (2022). akira-endo/reanalysis_Fukumoto2021: 'Not finding causal effect' is not 'finding no causal effect' of school closure on COVID-19. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6457915

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

Enria, L, Waterlow, N, Rogers, N, Brindle, H, Lal, S, Eggo, RM, Lees, S and Roberts, C (2020). Trust and Transparency in times of Crisis: Results from an Online Survey During the First Wave (April 2020) of the COVID-19 Epidemic in the UK - Qualitative Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001859.

Enria, L, Waterlow, N, Rogers, N, Brindle, H, Lal, S, Eggo, RM, Lees, S and Roberts, C (2021). Trust and Transparency in times of Crisis: Results from an Online Survey During the First Wave (April 2020) of the COVID-19 Epidemic in the UK - Quantitative Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002015.

Fernández-Niño, JA, Rojas Botero, ML, Arregoces, L and Ruiz, F (2022). Dataset of Study: Estimated number of deaths directly avoided because of COVID-19 vaccination among older adults in Colombia. [Data Collection]. Zenodo. https://doi.org/10.6084/m9.figshare.19122530.v1

Funk, S (2022). epiforecasts/ons_severity_estimates. [Data Collection]. Github. https://github.com/epiforecasts/ons_severity_estimates

Gibbs, H (2021). cmmid/uk_movement_communities_covid. [Data Collection]. Github. https://github.com/cmmid/uk_movement_communities_covid

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/

Gibbs, H, Waterlow, NR, Cheshire, J, Danon, L, Liu, Y, Grundy, C, Kucharski, AJ and Eggo, RM (2021). Population disruption: estimating changes in population distribution in the UK during the COVID-19 pandemic - Estimates for Local Authority Districts. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5013619

Gibbs, H, Waterlow, NR, Cheshire, J, Danon, L, Liu, Y, Grundy, C, Kucharski, AJ and Eggo, RM (2022). hamishgibbs/facebook_population_2020_2021. [Data Collection]. Github. https://github.com/hamishgibbs/facebook_population_2020_2021

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 (2021). CoMix social contact data (Austria). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4775972

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (France). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040870

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Italy). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041112

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Poland). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041128

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Portugal). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041140

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Spain). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040839

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

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Denmark). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040530

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Estonia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535312

Glazik, R (2021). Data supporting "A Snapshot of the Practicality of, and Barriers to, Implementation of COVID-19 Interventions: Public Health and Healthcare Workers' Perceptions". [Data Collection]. London School of Hygiene and Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002321.

Gonçalves, BP (2023). BronnerG/Hosp_Vacc_analysis: v1. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8252908

Goodfellow, L (2024). lucy-gf/imd-covid. [Data Collection]. Github. https://github.com/lucy-gf/imd-covid

Graham, S (2023). grahams99/Enhanced_surveillance_questionnaire. [Data Collection]. Github. https://github.com/grahams99/Enhanced_surveillance_questionnaire

Hellewell, J (2020). cmmid/ringbp. [Data Collection]. Github. https://github.com/cmmid/ringbp

Hellewell, J, Abbott, S, Gimma, A, Bosse, N, Jarvis, C, Russell, T, Munday, J, Kucharski, A, Edmunds, WJ, Funk, S, Eggo, R, Sun, F, Flasche, S, Quilty, B, Davies, N, Liu, Y, Clifford, S, Klepac, P, Jit, M, Diamond, C, Gibbs, H and Van Zandvoort, K (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. [Data Collection]. Github. https://github.com/cmmid/ringbp/

Hellewell, J, Lucas, T, Davis, E, Abbott, S, Gimma, A and Thompson, R (2020). timcdlucas/ringbp: Code as used in the paper "Engagement and adherence trade-offs for SARS-CoV-2 contact tracing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4221774

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

Jarvis, C (2021). jarvisc1/comix_uk_covid_restrictions. [Data Collection]. Github. https://github.com/jarvisc1/comix_uk_covid_restrictions

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

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

Kakande, A, Makanga, R, Kasamba, I, Kimono, B, Mugisha, J, Ruzagira, E, Kaleebu, P, Seeley, J and Newton, R (2023). Medical survey data to monitor trends in HIV epidemiology and assess the prevalence of Non-Communicable Diseases (NCDs) and associated factors in Central Uganda. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003702.

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.

Knight, G (2021). gwenknight/hai_first_wave. [Data Collection]. Github. https://github.com/gwenknight/hai_first_wave

Koech, A, Omuse, G, Mugo, A, Mwaniki, I, Mutunga, J, Mukhanya, M, Wanje, O, Mwashigadi, G, Katana, G, Craik, R, Von Dadelszen, P, Le Doare, K, Temmermen, M and The PRECISE Network (2024). SARS-CoV-2 Seroprevalence in Kenya dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003755.

Koltai, M (2021). Source data for "Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5534768

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

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

Kumar, N, Corpus, I, Hans, M, Harle, N, Yang, N, McDonald, C, Sakai, SN, Janmohamed, K, Chen, K, Altice, FL, Tang, W, Schwartz, JL, Jones-Jang, SM, Saha, K, Memon, SA, Bauch, CT, Choudhury, MD, Papakyriakopoulos, O, Tucker, JD, Goyal, A, Tyagi, A, Khoshnood, K and Omer, S (2022). COVID-19 Vaccine Perceptions on Reddit. [Data Collection]. OSF. https://osf.io/urp2a/

Laban, N (2021). Comparable exposure to SARS-CoV-2 in young children and healthcare workers in Zambia. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14237285.v2

Lazarus, JV, Ratzan, S, Palayew, A, Billari, FC, Binagwaho, A, Kimball, S, Larson, HJ, Melegaro, A, Rabin, K, White, TM and El-Mohandes, A (2020). COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10). [Data Collection]. PLoS One. https://doi.org/10.1371/journal.pone.0240011

Leclerc, QJ (2021). qleclerc/COVID_bed_occupancy. [Data Collection]. Github. https://github.com/qleclerc/COVID_bed_occupancy

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

Leclerc, QJ, Nightingale, E and Abbott, S (2020). qleclerc/nhs_pathways_report. [Data Collection]. Github. https://github.com/qleclerc/nhs_pathways_report

Leng, T and Flasche, S (2020). tsleng93/SocialBubble: Social Bubble (including density dependence). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3982789

Limbani, F and Kapumba, B (2022). “An increase in COVID-19 patients would be overwhelming”: A qualitative description of healthcare workers’ experiences during the first wave of COVID-19 (March 2020 to October 2020) at Malawi’s largest referral hospital. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17136161.v4

Lindsey, BB, Villabona-Arenas, CJ, Atkins, KE and Campbell, F (2021). Chjulian/sheffield_HT: Characterising within-hospital SARS-CoV-2 transmission events. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5769865

Liu, Y (2020). yangclaraliu/COVID19_NPIs_vs_Rt. [Data Collection]. Github. https://github.com/yangclaraliu/COVID19_NPIs_vs_Rt

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

Liu, Y, Funk, S and Flasche, S (2020). yangclaraliu/2019nCoV_proportion_asym: WOR Submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3709941

Liu, Y, Gong, W, Clifford, S, Sundaram, ME, CMMID COVID-19 Working Group, Jit, M, Flasche, S and Klepac, P (2020). yangclaraliu/covid_surveillance_strategy: WOR Submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4017353

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/

Lovell-Read, FA, Funk, S, Obolski, U, Donnelly, CA and Thompson, RN (2021). Supplementary material from "Interventions targeting non-symptomatic cases can be important to prevent local outbreaks: SARS-CoV-2 as a case study". [Data Collection]. The Royal Society. https://doi.org/10.6084/m9.figshare.c.5416023.v1

Manyaapelo, T and Seeley, J (2022). Interviews data matrix. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19738477.v1

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, Dlamini, V, Edwards, A, Olivier, S, Dayi, N, Dikgale, K, Nxumalo, S, Dreyer, J, Baisley, K, Siedner, MJ, White, RG, Herbst, K, Grant, AD and Harling, G (2021). Social contact information from PIPSA residents in uMkhanyakude before and during the Covid-19 pandemic – data from the Umoya Omuhle and Covid Social Contacts studies. [Data Collection]. AHRI Data Repository. https://doi.org/10.23664/AHRI.UOANDCSC.DATASET.2021

Meakin, S and Abbott, S (2022). epiforecasts/covid19-hospital-activity. [Data Collection]. Github. https://github.com/epiforecasts/covid19-hospital-activity

Mee, P, Alexander, N and Colón-González, FJ (2021). Paul-Mee/clic_brazil. [Data Collection]. Github. https://github.com/Paul-Mee/clic_brazil

Munday, JD (2021). jdmunday/SchoolHouseholdNetworksCOVID: Initial release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4552421

Munday, JD and Jarvis, CI (2021). jdmunday/CoMix_schools_reopening. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5172069

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

Nightingale, E (2022). esnightingale/covid_deaths_spatial. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5763663

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

O'reilly, KM (2024). Interview Questions for WW Dashboards. [Data Collection]. Zenodo. https://zenodo.org/doi/10.5281/zenodo.11031718

Osterrieder, A, Poomchaichote, T, Cuman, G, Pan-ngum, W, Cheah, P, Waithira, N, Mukaka, M, Naemiratch, B, Kulpijit, N, Chanviriyavuth, R, Asarath, S, Ruangkajorn, S, Silan, M, Stoppa, S, Zuanna, GD, Cheah, PK, Ongkili, D, Schneiders, M, Mackworth-Young, CR and Cheah, PY (2020). Online survey questions: Social, ethical and behavioural aspects of COVID-19. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3764912

Otiende, M, Nyaguara, A, Bottomley, C, Walumbe, D, Mochamah, G, Amadi, D, Nyundo, C, Kagucia, E, Etyang, A, Adetifa, I, Brand, S, Maitha, E, Chondo, E, Nzomo, E, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng'ang'a, W, Barasa, E, Tsofa, B, Mwangangi, J, Bejon, P, Agweyu, A, Williams, TN and Scott, JAG (2023). Replication Data for: Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/HAGRAK

Palmer, J, Sherratt, K, Martin-Nielsen, R, Bevan, J, Gibbs, H, CMMID COVID-19 Working Group, Funk, S and Abbott, S (2021). covidregionaldata: Subnational data for COVID-19 epidemiology. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3957539

Parker, E (2020). Covid 2019 tracker. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://vac-lshtm.shinyapps.io/ncov_tracker/

Parker, E (2021). vac-lshtm/VaC_tracker. [Data Collection]. Github. https://github.com/vac-lshtm/VaC_tracker

Parker, E and Horne, E (2022). opensafely/ckd-coverage-ve. [Data Collection]. Github. https://github.com/opensafely/ckd-coverage-ve

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

Pearce, N (2021). PROTECT initiative extended Covid-19 occupational questionnaire. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/HDC8S

Pearson, CAB, Bozzani, F, Procter, SR, Davies, NG, Huda, M, Jensen, HT, Keogh-Brown, M, Khalid, M, Sweeney, S, Torres-Rueda, S, Eggo, RM, Vassall, A and Jit, M (2021). Simulation results for "COVID-19 vaccination in Sindh Province, Pakistan: a modelling study of health impact and cost-effectiveness". [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.5070957

Pearson, CAB (2021). cmmid/covidTestVac. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4725814

Pearson, CAB, Russell, TW and Kucharski, AJ (2021). cmmid/SA2UK. [Data Collection]. Github. https://github.com/cmmid/SA2UK

Pearson, CAB, Thompson, S, Van Zandvoort, K, Eggo, RM and Jarvis, CI (2023). cmmid/covidm_reports: HEA Snapshot. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7741616

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.

Phelan, J and Deelder, W (2020). COVID-Profiler. [Data Collection]. Github. https://github.com/jodyphelan/covid-profiler

Poomchaichote, T, Naemiratch, B, Schneiders, M, Kulpijit, N, Cuman, G, Pan-ngum, W, Cheah, P, Waithira, N, Mukaka, M, Chanviriyavuth, R, Asarath, S, Ruangkajorn, S, Silan, M, Stoppa, S, Zuanna, GD, Ongkili, D, Cheah, PK, Osterrieder, A, Mackworth-young, K and Cheah, PY (2020). Topic guide for qualitative study: Social, ethical and behavioural aspects of COVID-19. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3777933

Prem, K (2021). kieshaprem/synthetic-contact-matrices. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4889499

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

Quaife, M (2020). mquaife/kenya_mixing. [Data Collection]. Github. https://github.com/mquaife/kenya_mixing

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

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

Quilty, BJ, Hellewell, J, Clifford, S and CMMID COVID-19 working group (2021). R code for: "Confirmatory testing with a second lateral flow test may mitigate false positives at low levels of SARS-CoV-2 prevalence in English schools". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002074.

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

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, Abbott, S, Jarvis, C, Zandvoort, Kv, Ratnayake, R, CMMID nCov working group, Flasche, S, Eggo, RM, Edmunds, WJ and Kucharski, AJ (2020). thimotei/CFR_calculation. [Data Collection]. Github. https://github.com/thimotei/CFR_calculation

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

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

Tazare, J (2020). johntaz/COVID-Collateral. [Data Collection]. Github. https://github.com/johntaz/COVID-Collateral

Tazare, J and Walker, A (2022). opensafely/post-covid-outcomes-research. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6475807

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.

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

Vaccine Centre (2020). COVID-19 vaccine development pipeline. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://vac-lshtm.shinyapps.io/ncov_vaccine_landscape/

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

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

Wong, A, Bacon, S, Walker, A, Davy, S, Inglesby, P and MacKenna, B (2021). opensafely/anticoagulants-research. [Data Collection]. Github. https://github.com/opensafely/anticoagulants-research

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

Yakob, L (2021). lwyakob/COVIDquarantine. [Data Collection]. Github. https://github.com/lwyakob/COVIDquarantine

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

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

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