Modeling COVID-19 scenarios for the United States

We use COVID-19 case and mortality data from 1 February 2020 to 21 September 2020 and a deterministic SEIR (susceptible, exposed, infectious and recovered) compartmental framework to model possible trajectories of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and the effect...

Full description

Saved in:
Bibliographic Details
Published inNature medicine Vol. 27; no. 1; pp. 94 - 105
Main Authors Reiner, Robert C., Jr, Barber, Ryan M, Collins, James K, Zheng, Peng, Adolph, Christopher, Albright, James, Antony, Catherine M, Aravkin,Aleksandr Y, Bachmeier, Steven D, Bang-Jensen, Bree, Bannick, Marlena S, Bloom, Sabina, Carter, Austin, Castro, Emma, Causey, Kate, Chakrabarti, Suman, Charlson, Fiona J, Cogen, Rebecca M, Combs, Emily, Dai, Xiaochen, Dangel, William James, Earl, Lucas, Ewald, Samuel B, Maha, Ezalarab, Ferrari, Alize J, Flaxman, Abraham, Frostad, Joseph Jon, Fukllman, Nancy, Gakidou, Emmanuela, Gallagher, John, Glenn, Scott D, Goosmann, Erik A, He, Jiawei, Henry, Nathaniel J, Hulland, Erin N, Hurst, Benjamin, Johanns, Casey, Kendrick, Parkes J, Khemani, Apurva, Larson, Samantha Leigh, Lazzar-Atwood, Alice, LeGrand, Kate E, Lescinsky, Haley, Lindstorm, Akiaja, Linebarger, Emily, Lozano, Rafael, Ma, Rui, Mansson, Johan, Magistro, Beatrice, Mantilla Herrera, Ana M, Marczak, Laurie B, Miller-Petrie, Molly K, Mokdad, Ali H, Morgan, Julia Deryn, Naik, Paulami, Odell, Christopher M, O'Halloran, James K, Osgood-Zimmerman, Aaron E, Ostroff, Samuel M, Pasovic, Maja, Penberthy, Louise, Phipps, Geoffrey, Pigott, David M, Pollock, Ian, Ramshaw, Rebecca E, Redford, Sofia Boston, Reinke, Grace, Rolfe, Sam, Santomauro, Damian Francesco, Shackleton, John R, Shaw, David H, Sheena, Brittney S, Sholokhov, Aleksei, Sorensen, Reed J.D, Sparks, Gianna, Spurlock, Emma Elizabeth, Subart, Michelle L, Syailendrawati, Ruri, Torre, Anna E, Troeger, Christopher E, Vos, Theo, Watson, Alexandrea, Watson, Stefanie, Wiens, Kirsten E, Woyczynski, Lauren, Xu, Liming, Zhang, Jize, Hay, Simon I, Lim, Stephen S, Murray, Christopher J.L
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.01.2021
Nature Publishing Group
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:We use COVID-19 case and mortality data from 1 February 2020 to 21 September 2020 and a deterministic SEIR (susceptible, exposed, infectious and recovered) compartmental framework to model possible trajectories of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and the effects of non-pharmaceutical interventions in the United States at the state level from 22 September 2020 through 28 February 2021. Using this SEIR model, and projections of critical driving covariates (pneumonia seasonality, mobility, testing rates and mask use per capita), we assessed scenarios of social distancing mandates and levels of mask use. Projections of current non-pharmaceutical intervention strategies by state—with social distancing mandates reinstated when a threshold of 8 deaths per million population is exceeded (reference scenario)—suggest that, cumulatively, 511,373 (469,578–578,347) lives could be lost to COVID-19 across the United States by 28 February 2021. We find that achieving universal mask use (95% mask use in public) could be sufficient to ameliorate the worst effects of epidemic resurgences in many states. Universal mask use could save an additional 129,574 (85,284–170,867) lives from September 22, 2020 through the end of February 2021, or an additional 95,814 (60,731–133,077) lives assuming a lesser adoption of mask wearing (85%), when compared to the reference scenario. A modeling study using case and mortality data from the first 8 months of the COVID-19 pandemic in the United States explores five potential future scenarios of social distancing mandates and mask use at the state level, with projections of the course of the epidemic through winter 2021.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1078-8956
1546-170X
DOI:10.1038/s41591-020-1132-9