| A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States NG Reich, LC Brooks, SJ Fox, S Kandula, CJ McGowan, E Moore, ... Proceedings of the National Academy of Sciences 116 (8), 3146-3154, 2019 | 245 | 2019 |
| Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... MedRXiv, 2020.08. 19.20177493, 2020 | 201 | 2020 |
| An open challenge to advance probabilistic forecasting for dengue epidemics MA Johansson, KM Apfeldorf, S Dobson, J Devita, AL Buczak, B Baugher, ... Proceedings of the National Academy of Sciences 116 (48), 24268-24274, 2019 | 190 | 2019 |
| Evaluating epidemic forecasts in an interval format J Bracher, EL Ray, T Gneiting, NG Reich PLoS computational biology 17 (2), e1008618, 2021 | 180 | 2021 |
| 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 | 168 | 2022 |
| Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the US NG Reich, CJ McGowan, TK Yamana, A Tushar, EL Ray, D Osthus, ... PLoS computational biology 15 (11), e1007486, 2019 | 135 | 2019 |
| Prediction of infectious disease epidemics via weighted density ensembles EL Ray, NG Reich PLoS computational biology 14 (2), e1005910, 2018 | 132 | 2018 |
| Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 CJ McGowan, M Biggerstaff, M Johansson, KM Apfeldorf, M Ben-Nun, ... Scientific reports 9 (1), 1-13, 2019 | 114 | 2019 |
| 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 United States COVID-19 Forecast Hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific Data 9 (1), 1-15, 2022 | 82 | 2022 |
| Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010–2014 SA Lauer, K Sakrejda, EL Ray, LT Keegan, Q Bi, P Suangtho, S Hinjoy, ... Proceedings of the National Academy of Sciences 115 (10), E2175-E2182, 2018 | 75 | 2018 |
| Infectious disease prediction with kernel conditional density estimation EL Ray, K Sakrejda, SA Lauer, MA Johansson, NG Reich Statistics in medicine 36 (30), 4908-4929, 2017 | 70 | 2017 |
| Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation SK Keadle, K Lyden, A Hickey, EL Ray, JH Fowke, PS Freedson, ... International Journal of Behavioral Nutrition and Physical Activity 11 (1), 1-11, 2014 | 55 | 2014 |
| Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023 | 41 | 2023 |
| Collaborative hubs: making the most of predictive epidemic modeling NG Reich, J Lessler, S Funk, C Viboud, A Vespignani, RJ Tibshirani, ... American journal of public health 112 (6), 839-842, 2022 | 31 | 2022 |
| Ensemble forecasts of Coronavirus Disease 2019 (COVID-19) in the US medRxiv EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... Published online August 22, 2020.08, 2020 | 24 | 2020 |
| Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States EL Ray, LC Brooks, J Bien, M Biggerstaff, NI Bosse, J Bracher, EY Cramer, ... International journal of forecasting 39 (3), 1366-1383, 2023 | 21 | 2023 |
| Comparing ensemble approaches for short-term probabilistic COVID-19 forecasts in the US LC Brooks, EL Ray, J Bien, J Bracher, A Rumack, RJ Tibshirani, NG Reich International Institute of Forecasters, 2020 | 20 | 2020 |
| Challenges in training ensembles to forecast COVID-19 cases and deaths in the United States EL Ray, LC Brooks, J Bien, J Bracher, A Gerding, A Rumack, ... International Institute of Forecasters, 2021 | 16 | 2021 |
| Evaluation of an open forecasting challenge to assess skill of West Nile virus neuroinvasive disease prediction KM Holcomb, S Mathis, JE Staples, M Fischer, CM Barker, CB Beard, ... Parasites & Vectors 16 (1), 1-13, 2023 | 13 | 2023 |
