COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support
dc.creator | Shea, Katriona | |
dc.creator | Borchering, Rebecca K. | |
dc.creator | Probert, William J.M. | |
dc.creator | Howerton, Emily | |
dc.creator | Bogich, Tiffany L. | |
dc.creator | Li, Shouli | |
dc.creator | van Panhuis, Willem G. | |
dc.creator | Viboud, Cecile | |
dc.creator | Aguás, Ricardo | |
dc.creator | Belov, Artur | |
dc.creator | Bhargava, Sanjana H. | |
dc.creator | Cavany, Sean | |
dc.creator | Chang, Joshua C. | |
dc.creator | Chen, Cynthia | |
dc.creator | Chen, Jinghui | |
dc.creator | Chen, Shi | |
dc.creator | Chen, YanqQuan | |
dc.creator | Childs, Lauren M. | |
dc.creator | Chow, Carson C. | |
dc.creator | Crooker, Isabel | |
dc.creator | De Valle, Sara Y. | |
dc.creator | España, Guido | |
dc.creator | Fairchild, Geoffrey | |
dc.creator | Gerkin, Richard C. | |
dc.creator | Germann, Timothy C. | |
dc.creator | Gu, Quanquan | |
dc.creator | Guan, Xiangyang | |
dc.creator | Guo, Lihong | |
dc.creator | Hart, Gregory R. | |
dc.creator | Hladish, Thomas J. | |
dc.creator | Hupert, Nathaniel | |
dc.creator | Janies, Daniel | |
dc.creator | Kerr, Cliff C. | |
dc.creator | Klein, Daniel J. | |
dc.creator | Klein, Eili | |
dc.creator | Lin, Gary | |
dc.creator | Manore, Carrie | |
dc.creator | Meyers, Lauren Ancel | |
dc.creator | Mittler, John | |
dc.creator | Mu, Kunpeng | |
dc.creator | Núñez, Rafael C. | |
dc.creator | Oidtman, Rachel | |
dc.creator | Pasco, Remy | |
dc.creator | Pastore y Piontti, Ana | |
dc.creator | Paul, Rajib | |
dc.creator | Pearson, Carl A.B. | |
dc.creator | Perdomo, Dianela R. | |
dc.creator | Perkins, T. Alex | |
dc.creator | Pierce, Kelly | |
dc.creator | Pillai, Alexander N. | |
dc.creator | Rael, Rosalyn Cherie | |
dc.creator | Rosenfeld, Katherine | |
dc.creator | Ross, Chrysm Watson | |
dc.creator | Spencer, Julie A. | |
dc.creator | Stoltzfu, Arlin B. | |
dc.creator | Toh, Kok Ben | |
dc.creator | Vattikuti, Shashaank | |
dc.creator | Vespignani, Alessandro | |
dc.creator | Wang, Lingxiao | |
dc.creator | White, Lisa | |
dc.creator | Xu, Pan | |
dc.creator | Yang, Yupeng | |
dc.creator | Yogurtcu, Osman N. | |
dc.creator | Zhang, Weitong | |
dc.creator | Zhao, Yanting | |
dc.creator | Zou, Difan | |
dc.creator | Ferrari, Matthew | |
dc.creator | Pannell, David | |
dc.creator | Tildesley, Michael | |
dc.creator | Seifarth, Jack | |
dc.creator | Johnson, Elyse | |
dc.creator | Biggerstaff, Matthew | |
dc.creator | Johansson, Michael | |
dc.creator | Slayton, Rachel B. | |
dc.creator | Levander, John | |
dc.creator | Stazer, Jeff | |
dc.creator | Salerno, Jessica | |
dc.creator | Runge, Michael C. | |
dc.date.accessioned | 2024-07-29T20:41:38Z | |
dc.date.available | 2024-07-29T20:41:38Z | |
dc.date.issued | 2020-11 | |
dc.description.abstract | Policymakers make decisions about COVID-19 management in the face of considerable uncertainty. We convened multiple modeling teams to evaluate reopening strategies for a mid- sized county in the United States, in a novel process designed to fully express scientific uncertainty while reducing linguistic uncertainty and cognitive biases. For the scenarios considered, the consensus from 17 distinct models was that a second outbreak will occur within 6 months of reopening, unless schools and non-essential workplaces remain closed. Up to half the population could be infected with full workplace reopening; non-essential business closures reduced median cumulative infections by 82%. Intermediate reopening interventions identified no win-win situations; there was a trade-off between public health outcomes and duration of workplace closures. Aggregate results captured twice the uncertainty of individual models, providing a more complete expression of risk for decision-making purposes. | |
dc.description.department | Integrative Biology | |
dc.identifier.doi | 10.1101/2020.11.03.20225409 | |
dc.identifier.uri | https://hdl.handle.net/2152/126261 | |
dc.identifier.uri | https://doi.org/10.26153/tsw/52798 | |
dc.relation.isversionof | Now published in Proceedings of the National Academy of Sciences doi: 10.1073/pnas.2207537120 | |
dc.rights | Attribution NonCommercial NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | COVID-19 | |
dc.subject | reopening strategies | |
dc.subject | outbreak decision support | |
dc.title | COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support | |
dc.type | Pre-print |