| 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 | 3005 | 2020 |
| Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle N Oliver, B Lepri, H Sterly, R Lambiotte, S Deletaille, M De Nadai, ... Science advances 6 (23), eabc0764, 2020 | 603 | 2020 |
| Aggregated mobility data could help fight COVID-19 CO Buckee, S Balsari, J Chan, M Crosas, F Dominici, U Gasser, YH Grad, ... Science 368 (6487), 145-146, 2020 | 441 | 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), 106, 2020 | 438 | 2020 |
| Epigenetic transgenerational inheritance of altered stress responses D Crews, R Gillette, SV Scarpino, M Manikkam, MI Savenkova, ... Proceedings of the National Academy of Sciences 109 (23), 9143-9148, 2012 | 387 | 2012 |
| Asymptomatic transmission and the resurgence of Bordetella pertussis BM Althouse, SV Scarpino BMC medicine 13, 1-12, 2015 | 284 | 2015 |
| Open access epidemiological data from the COVID-19 outbreak. B Xu, MUG Kraemer Elsevier BV, 2020 | 283 | 2020 |
| Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study B Rader, LF White, MR Burns, J Chen, J Brilliant, J Cohen, J Shaman, ... The Lancet Digital Health 3 (3), e148-e157, 2021 | 278 | 2021 |
| 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 | 250 | 2020 |
| Modelling covid-19 A Vespignani, H Tian, C Dye, JO Lloyd-Smith, RM Eggo, M Shrestha, ... Nature Reviews Physics 2 (6), 279-281, 2020 | 242 | 2020 |
| Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control BM Althouse, EA Wenger, JC Miller, SV Scarpino, A Allard, ... PLoS biology 18 (11), e3000897, 2020 | 231 | 2020 |
| On the predictability of infectious disease outbreaks SV Scarpino, G Petri Nature communications 10 (1), 898, 2019 | 210 | 2019 |
| About PAR: the distinct evolutionary dynamics of the pseudoautosomal region SP Otto, JR Pannell, CL Peichel, TL Ashman, D Charlesworth, ... Trends in genetics 27 (9), 358-367, 2011 | 204 | 2011 |
| Initial human transmission dynamics of the pandemic (H1N1) 2009 virus in North America B Pourbohloul, A Ahued, B Davoudi, R Meza, LA Meyers, DM Skowronski, ... Influenza and other respiratory viruses 3 (5), 215-222, 2009 | 175 | 2009 |
| Enhancing disease surveillance with novel data streams: challenges and opportunities BM Althouse, SV Scarpino, LA Meyers, JW Ayers, M Bargsten, ... EPJ data science 4 (1), 1-8, 2015 | 156 | 2015 |
| Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B. 1.1. 7 emergence MUG Kraemer, V Hill, C Ruis, S Dellicour, S Bajaj, JT McCrone, G Baele, ... Science 373 (6557), 889-895, 2021 | 149 | 2021 |
| Tracking the 2022 monkeypox outbreak with epidemiological data in real-time MUG Kraemer, H Tegally, DM Pigott, A Dasgupta, J Sheldon, E Wilkinson, ... The Lancet Infectious Diseases 22 (7), 941-942, 2022 | 128 | 2022 |
| A review and agenda for integrated disease models including social and behavioural factors J Bedson, LA Skrip, D Pedi, S Abramowitz, S Carter, MF Jalloh, S Funk, ... Nature human behaviour 5 (7), 834-846, 2021 | 116 | 2021 |
| Mathematical models: A key tool for outbreak response ET Lofgren, ME Halloran, CM Rivers, JM Drake, TC Porco, B Lewis, ... Proceedings of the National Academy of Sciences 111 (51), 18095-18096, 2014 | 114 | 2014 |
| Mobile phone data and COVID-19: Missing an opportunity? N Oliver, E Letouzé, H Sterly, S Delataille, M De Nadai, B Lepri, ... arXiv preprint arXiv:2003.12347, 2020 | 108 | 2020 |
