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Impact of vaccination on the COVID-19 pandemic in U.S. states
Governments worldwide are implementing mass vaccination programs in an effort to end the novel coronavirus (COVID-19) pandemic. Here, we evaluated the effectiveness of the COVID-19 vaccination program in its early stage and predicted the path to herd immunity in the U.S. By early March 2021, we esti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799714/ https://www.ncbi.nlm.nih.gov/pubmed/35091640 http://dx.doi.org/10.1038/s41598-022-05498-z |
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author | Chen, Xiao Huang, Hanwei Ju, Jiandong Sun, Ruoyan Zhang, Jialiang |
author_facet | Chen, Xiao Huang, Hanwei Ju, Jiandong Sun, Ruoyan Zhang, Jialiang |
author_sort | Chen, Xiao |
collection | PubMed |
description | Governments worldwide are implementing mass vaccination programs in an effort to end the novel coronavirus (COVID-19) pandemic. Here, we evaluated the effectiveness of the COVID-19 vaccination program in its early stage and predicted the path to herd immunity in the U.S. By early March 2021, we estimated that vaccination reduced the total number of new cases by 4.4 million (from 33.0 to 28.6 million), prevented approximately 0.12 million hospitalizations (from 0.89 to 0.78 million), and decreased the population infection rate by 1.34 percentage points (from 10.10 to 8.76%). We built a Susceptible-Infected-Recovered (SIR) model with vaccination to predict herd immunity, following the trends from the early-stage vaccination program. Herd immunity could be achieved earlier with a faster vaccination pace, lower vaccine hesitancy, and higher vaccine effectiveness. The Delta variant has substantially postponed the predicted herd immunity date, through a combination of reduced vaccine effectiveness, lowered recovery rate, and increased infection and death rates. These findings improve our understanding of the COVID-19 vaccination and can inform future public health policies. |
format | Online Article Text |
id | pubmed-8799714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87997142022-02-01 Impact of vaccination on the COVID-19 pandemic in U.S. states Chen, Xiao Huang, Hanwei Ju, Jiandong Sun, Ruoyan Zhang, Jialiang Sci Rep Article Governments worldwide are implementing mass vaccination programs in an effort to end the novel coronavirus (COVID-19) pandemic. Here, we evaluated the effectiveness of the COVID-19 vaccination program in its early stage and predicted the path to herd immunity in the U.S. By early March 2021, we estimated that vaccination reduced the total number of new cases by 4.4 million (from 33.0 to 28.6 million), prevented approximately 0.12 million hospitalizations (from 0.89 to 0.78 million), and decreased the population infection rate by 1.34 percentage points (from 10.10 to 8.76%). We built a Susceptible-Infected-Recovered (SIR) model with vaccination to predict herd immunity, following the trends from the early-stage vaccination program. Herd immunity could be achieved earlier with a faster vaccination pace, lower vaccine hesitancy, and higher vaccine effectiveness. The Delta variant has substantially postponed the predicted herd immunity date, through a combination of reduced vaccine effectiveness, lowered recovery rate, and increased infection and death rates. These findings improve our understanding of the COVID-19 vaccination and can inform future public health policies. Nature Publishing Group UK 2022-01-28 /pmc/articles/PMC8799714/ /pubmed/35091640 http://dx.doi.org/10.1038/s41598-022-05498-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Xiao Huang, Hanwei Ju, Jiandong Sun, Ruoyan Zhang, Jialiang Impact of vaccination on the COVID-19 pandemic in U.S. states |
title | Impact of vaccination on the COVID-19 pandemic in U.S. states |
title_full | Impact of vaccination on the COVID-19 pandemic in U.S. states |
title_fullStr | Impact of vaccination on the COVID-19 pandemic in U.S. states |
title_full_unstemmed | Impact of vaccination on the COVID-19 pandemic in U.S. states |
title_short | Impact of vaccination on the COVID-19 pandemic in U.S. states |
title_sort | impact of vaccination on the covid-19 pandemic in u.s. states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799714/ https://www.ncbi.nlm.nih.gov/pubmed/35091640 http://dx.doi.org/10.1038/s41598-022-05498-z |
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