| What factors might have led to the emergence of Ebola in West Africa? KA Alexander, CE Sanderson, M Marathe, BL Lewis, CM Rivers, ... PLoS neglected tropical diseases 9 (6), e0003652, 2015 | 328 | 2015 |
| Modeling the impact of interventions on an epidemic of Ebola in Sierra Leone and Liberia CM Rivers, ET Lofgren, M Marathe, S Eubank, BL Lewis PLoS currents 6, 2014 | 298 | 2014 |
| Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes SD Young, C Rivers, B Lewis Preventive medicine 63, 112-115, 2014 | 218 | 2014 |
| Estimation of MERS-coronavirus reproductive number and case fatality rate for the spring 2014 Saudi Arabia outbreak: insights from publicly available data MS Majumder, C Rivers, E Lofgren, D Fisman PLoS currents 6, 2014 | 188 | 2014 |
| Estimated demand for US hospital inpatient and intensive care unit beds for patients with COVID-19 based on comparisons with Wuhan and Guangzhou, China R Li, C Rivers, Q Tan, MB Murray, E Toner, M Lipsitch JAMA network open 3 (5), e208297-e208297, 2020 | 186* | 2020 |
| Ethical research standards in a world of big data CM Rivers, BL Lewis F1000Research 3 (38), 38, 2014 | 177 | 2014 |
| Using “outbreak science” to strengthen the use of models during epidemics C Rivers, JP Chretien, S Riley, JA Pavlin, A Woodward, D Brett-Major, ... Nature communications 10 (1), 3102, 2019 | 119 | 2019 |
| 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 | 109 | 2014 |
| National coronavirus response: a road map to reopening S Gottlieb, C Rivers, M McClellan, L Silvis, C Watson AEI: American Enterprise Institute for Public Policy Research, 2020 | 84 | 2020 |
| Make data sharing routine to prepare for public health emergencies JP Chretien, CM Rivers, MA Johansson PLoS medicine 13 (8), e1002109, 2016 | 61 | 2016 |
| Risks of death and severe disease in patients with Middle East respiratory syndrome coronavirus, 2012–2015 CM Rivers, MS Majumder, ET Lofgren American Journal of Epidemiology 184 (6), 460-464, 2016 | 53 | 2016 |
| Social media and the new world of scientific communication during the COVID19 pandemic S Pollett, C Rivers Clinical Infectious Diseases, 2020 | 47 | 2020 |
| Technology to advance infectious disease forecasting for outbreak management DB George, W Taylor, J Shaman, C Rivers, B Paul, T O’Toole, ... Nature communications 10 (1), 3932, 2019 | 44 | 2019 |
| Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation N Parikh, S Swarup, PE Stretz, CM Rivers, BL Lewis, MV Marathe, ... Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 41 | 2013 |
| Generating a synthetic population of the United States A Adiga, A Agashe, S Arifuzzaman, CL Barrett, RJ Beckman, KR Bisset, ... Network Dynamics and Simulation Science Laboratory, Tech. Rep. NDSSL, 15-009, 2015 | 38 | 2015 |
| Review of international efforts to strengthen the global outbreak response system since the 2014–16 West Africa Ebola Epidemic SJ Ravi, MR Snyder, C Rivers Health policy and planning 34 (1), 47-54, 2019 | 33 | 2019 |
| Planning and response in the aftermath of a large crisis: An agent-based informatics framework C Barrett, K Bisset, S Chandan, J Chen, Y Chungbaek, S Eubank, ... 2013 Winter Simulations Conference (WSC), 1515-1526, 2013 | 33 | 2013 |
| Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines S Pollett, MA Johansson, NG Reich, D Brett-Major, SY Del Valle, ... PLoS medicine 18 (10), e1003793, 2021 | 25 | 2021 |
| Ebola: models do more than forecast. CM Rivers Nat. 515 (7528), 492, 2014 | 24 | 2014 |
| Data curation during a pandemic and lessons learned from COVID-19 MUG Kraemer, SV Scarpino, V Marivate, B Gutierrez, B Xu, G Lee, ... Nature Computational Science 1 (1), 9-10, 2021 | 23 | 2021 |
