| The effect of human mobility and control measures on the COVID-19 epidemic in China MUG Kraemer, CH Yang, B Gutierrez, CH Wu, B Klein, DM Pigott, ... Science 368 (6490), 493-497, 2020 | 3200 | 2020 |
| Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020 K Mizumoto, K Kagaya, A Zarebski, G Chowell Eurosurveillance 25 (10), 2000180, 2020 | 3200 | 2020 |
| Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa R Viana, S Moyo, DG Amoako, H Tegally, C Scheepers, CL Althaus, ... Nature 603 (7902), 679-686, 2022 | 1644 | 2022 |
| Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil WM de Souza, LF Buss, D da Silva Candido, JP Carrera, S Li, ... Nature Human Behaviour 4 (8), 856-865, 2020 | 490 | 2020 |
| Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil WM de Souza, LF Buss, D da Silva Candido, JP Carrera, S Li, ... Nature Human Behaviour, 1-9, 2020 | 490 | 2020 |
| Epidemiological data from the COVID-19 outbreak, real-time case information B Xu, B Gutierrez, S Mekaru, K Sewalk, L Goodwin, A Loskill, EL Cohn, ... Scientific Data 7 (1), 1-6, 2020 | 454 | 2020 |
| Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK L du Plessis, JT McCrone, AE Zarebski, V Hill, C Ruis, B Gutierrez, ... Science 371 (6530), 708-712, 2021 | 408 | 2021 |
| Open access epidemiological data from the COVID-19 outbreak B Xu, MUG Kraemer, B Gutierrez, S Mekaru, K Sewalk, A Loskill, L Wang, ... The Lancet Infectious Diseases 20 (5), 534, 2020 | 291 | 2020 |
| Crowding and the shape of COVID-19 epidemics B Rader, SV Scarpino, A Nande, AL Hill, B Adlam, RC Reiner, DM Pigott, ... Nature medicine 26 (12), 1829-1834, 2020 | 269 | 2020 |
| Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil SL Li, RHM Pereira, CA Prete Jr, AE Zarebski, L Emanuel, PJH Alves, ... BMJ Global Health 6 (4), e004959, 2021 | 106 | 2021 |
| Context-specific emergence and growth of the SARS-CoV-2 Delta variant JT McCrone, V Hill, S Bajaj, RE Pena, BC Lambert, R Inward, S Bhatt, ... medRxiv, 2021 | 103 | 2021 |
| Estimating the Asymptomatic Ratio of 2019 Novel Coronavirus onboard the Princess Cruises Ship, 2020 K Mizumoto, K Kagaya, A Zarebski, G Chowell medRxiv, 2020 | 55 | 2020 |
| Preliminary analysis of SARS-CoV-2 importation & establishment of UK transmission lineages O Pybus, A Rambaut, L du Plessis, A Zarebski, M Kraemer, J Raghwani, ... Virological. org, 2020 | 52 | 2020 |
| Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges A Alahmadi, S Belet, A Black, D Cromer, JA Flegg, T House, ... Epidemics 32, 100393, 2020 | 51 | 2020 |
| Forecasting influenza outbreak dynamics in Melbourne from Internet search query surveillance data R Moss, A Zarebski, P Dawson, JM McCaw Influenza and other respiratory viruses 10 (4), 314-323, 2016 | 46 | 2016 |
| Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA. 1 JLH Tsui, JT McCrone, B Lambert, S Bajaj, RPD Inward, P Bosetti, ... Science 381 (6655), 336-343, 2023 | 41 | 2023 |
| Accounting for healthcare-seeking behaviours and testing practices in real-time influenza forecasts R Moss, AE Zarebski, SJ Carlson, JM McCaw Tropical Medicine and Infectious Disease 4 (1), 12, 2019 | 36 | 2019 |
| Retrospective forecasting of the 2010–2014 Melbourne influenza seasons using multiple surveillance systems R Moss, A Zarebski, P Dawson, JM McCaw Epidemiology & Infection 145 (1), 156-169, 2017 | 30 | 2017 |
| Model selection for seasonal influenza forecasting AE Zarebski, P Dawson, JM McCaw, R Moss Infectious Disease Modelling 2 (1), 56-70, 2017 | 27 | 2017 |
| Quantifying the information in noisy epidemic curves KV Parag, CA Donnelly, AE Zarebski Nature Computational Science 2 (9), 584-594, 2022 | 25 | 2022 |
Oliver PybusUniversity of Oxford / Royal Veterinary Collegeبريد إلكتروني تم التحقق منه على zoo.ox.ac.uk