| Mathematical models for covid-19 pandemic: a comparative analysis A Adiga, D Dubhashi, B Lewis, M Marathe, S Venkatramanan, A Vullikanti Journal of the Indian Institute of Science 100 (4), 793-807, 2020 | 212 | 2020 |
| Commentary on Ferguson, et al.,“Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand” S Eubank, I Eckstrand, B Lewis, S Venkatramanan, M Marathe, CL Barrett Bulletin of mathematical biology 82, 1-7, 2020 | 211 | 2020 |
| Using data-driven agent-based models for forecasting emerging infectious diseases S Venkatramanan, B Lewis, J Chen, D Higdon, A Vullikanti, M Marathe Epidemics 22, 43-49, 2018 | 196 | 2018 |
| Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021 RK Borchering MMWR. Morbidity and Mortality Weekly Report 70, 2021 | 155 | 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), 462, 2022 | 92 | 2022 |
| Epidemiological and economic impact of COVID-19 in the US J Chen, A Vullikanti, J Santos, S Venkatramanan, S Hoops, H Mortveit, ... Scientific reports 11 (1), 20451, 2021 | 76 | 2021 |
| Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints S Venkatramanan, J Chen, A Fadikar, S Gupta, D Higdon, B Lewis, ... PLoS computational biology 15 (9), e1007111, 2019 | 71* | 2019 |
| Causalgnn: Causal-based graph neural networks for spatio-temporal epidemic forecasting L Wang, A Adiga, J Chen, A Sadilek, S Venkatramanan, M Marathe Proceedings of the AAAI conference on artificial intelligence 36 (11), 12191 …, 2022 | 67 | 2022 |
| A framework for evaluating epidemic forecasts FS Tabataba, P Chakraborty, N Ramakrishnan, S Venkatramanan, ... BMC infectious diseases 17, 1-27, 2017 | 63 | 2017 |
| Evaluating the impact of international airline suspensions on the early global spread of COVID-19 A Adiga, S Venkatramanan, J Schlitt, A Peddireddy, A Dickerman, A Bura, ... Medrxiv, 2020 | 57* | 2020 |
| Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness J Chen, S Hoops, A Marathe, H Mortveit, B Lewis, S Venkatramanan, ... MedRxiv, 2021.02. 04.21251012, 2021 | 56 | 2021 |
| Forecasting influenza activity using machine-learned mobility map S Venkatramanan, A Sadilek, A Fadikar, CL Barrett, M Biggerstaff, J Chen, ... Nature communications 12 (1), 726, 2021 | 53 | 2021 |
| Calibrating a stochastic, agent-based model using quantile-based emulation A Fadikar, D Higdon, J Chen, B Lewis, S Venkatramanan, M Marathe SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1685-1706, 2018 | 52 | 2018 |
| 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 | 48 | 2021 |
| 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 | 46 | 2023 |
| Medical costs of keeping the US economy open during COVID-19 J Chen, A Vullikanti, S Hoops, H Mortveit, B Lewis, S Venkatramanan, ... Scientific reports 10 (1), 18422, 2020 | 43 | 2020 |
| Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ... Elife 11, e73584, 2022 | 40 | 2022 |
| Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi … RK Borchering, LC Mullany, E Howerton, M Chinazzi, CP Smith, M Qin, ... The Lancet Regional Health–Americas 17, 2023 | 28 | 2023 |
| All models are useful: Bayesian ensembling for robust high resolution covid-19 forecasting A Adiga, L Wang, B Hurt, A Peddireddy, P Porebski, S Venkatramanan, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 28 | 2021 |
| Using mobility data to understand and forecast covid19 dynamics L Wang, X Ben, A Adiga, A Sadilek, A Tendulkar, S Venkatramanan, ... MedRxiv, 2020 | 27 | 2020 |
Madhav MaratheDistinguished Professor, Biocomplexity-Institute, Dept. Computer Science, University of Virginia在 virginia.edu 的电子邮件经过验证
