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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...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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Nature Publishing Group US
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806509/ https://www.ncbi.nlm.nih.gov/pubmed/33097835 http://dx.doi.org/10.1038/s41591-020-1132-9 |
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collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7806509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-78065092021-01-21 Modeling COVID-19 scenarios for the United States Nat Med Article 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. Nature Publishing Group US 2020-10-23 2021 /pmc/articles/PMC7806509/ /pubmed/33097835 http://dx.doi.org/10.1038/s41591-020-1132-9 Text en © The Author(s) 2020, corrected publication 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Modeling COVID-19 scenarios for the United States |
title | Modeling COVID-19 scenarios for the United States |
title_full | Modeling COVID-19 scenarios for the United States |
title_fullStr | Modeling COVID-19 scenarios for the United States |
title_full_unstemmed | Modeling COVID-19 scenarios for the United States |
title_short | Modeling COVID-19 scenarios for the United States |
title_sort | modeling covid-19 scenarios for the united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806509/ https://www.ncbi.nlm.nih.gov/pubmed/33097835 http://dx.doi.org/10.1038/s41591-020-1132-9 |
work_keys_str_mv | AT modelingcovid19scenariosfortheunitedstates |