| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 164 | 2022 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... Medrxiv, 2021 | 90 | 2021 |
| The statistics of epidemic transitions JM Drake, TS Brett, S Chen, BI Epureanu, MJ Ferrari, É Marty, PB Miller, ... PLoS computational biology 15 (5), 2019 | 52 | 2019 |
| Eigenvalues of the covariance matrix as early warning signals for critical transitions in ecological systems S Chen, EB O’Dea, JM Drake, BI Epureanu Scientific reports 9 (1), 1-14, 2019 | 46 | 2019 |
| Forecasting infectious disease emergence subject to seasonal forcing PB Miller, EB O’Dea, P Rohani, JM Drake Theoretical Biology and Medical Modelling 14 (1), 1-14, 2017 | 32 | 2017 |
| Contact heterogeneity and phylodynamics: how contact networks shape parasite evolutionary trees EB O'Dea, CO Wilke Interdisciplinary perspectives on infectious diseases 2011, 2011 | 31 | 2011 |
| Fitting outbreak models to data from many small norovirus outbreaks EB O’Dea, KM Pepin, BA Lopman, CO Wilke Epidemics 6, 18-29, 2014 | 28 | 2014 |
| Anticipating epidemic transitions with imperfect data TS Brett, EB O’Dea, É Marty, PB Miller, AW Park, JM Drake, P Rohani PLoS computational biology 14 (6), e1006204, 2018 | 27 | 2018 |
| Does mutational robustness inhibit extinction by lethal mutagenesis in viral populations? EB O'Dea, TE Keller, CO Wilke PLoS Comput Biol 6 (6), e1000811, 2010 | 23 | 2010 |
| Transient indicators of tipping points in infectious diseases SM O’Regan, EB O’Dea, P Rohani, JM Drake Journal of the Royal Society Interface 17 (170), 20200094, 2020 | 20 | 2020 |
| Waiting time to infectious disease emergence CJ Dibble, EB O'Dea, AW Park, JM Drake Journal of The Royal Society Interface 13 (123), 20160540, 2016 | 20 | 2016 |
| Using heterogeneity in the population structure of U.S. swine farms to compare transmission models for porcine epidemic diarrhoea E O'Dea, H Snelson, S Bansal Scientific Reports 6, 22248, 2016 | 19* | 2016 |
| Disentangling reporting and disease transmission EB O’Dea, JM Drake Theoretical Ecology 12 (1), 89-98, 2019 | 16 | 2019 |
| Estimating the distance to an epidemic threshold EB O'dea, AW Park, JM Drake Journal of The Royal Society Interface 15 (143), 20180034, 2018 | 14 | 2018 |
| A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations, and deaths EB O'Dea, JM Drake medRxiv, 2021 | 10 | 2021 |
| Getting Started with spaero E O’Dea | | 2020 |
| General methods for anticipating tipping points in complex systems JM Drake, P Rohani, AW Park, E O'Dea, E Marty, P Miller, TS Brett, S Hall 2018 ESA Annual Meeting (August 5--10), 2018 | | 2018 |
| Disentangling reporting and disease transmission using second order statistics EB O’Dea, JM Drake bioRxiv, 234658, 2017 | | 2017 |
| Supplementary material: Waiting time to infectious disease emergence CJ Dibble, EB O’Dea, AW Park, JM Drake | | 2016 |
| Analyses of infectious disease data with attention to heterogeneity EB O'Dea | | 2013 |
John M. DrakeProfessor of Ecology, University of GeorgiaVerified email at uga.edu
