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Quantifying population contact patterns in the United States during the COVID-19 pandemic
SARS-CoV-2 is transmitted primarily through close, person-to-person interactions. Physical distancing policies can control the spread of SARS-CoV-2 by reducing the amount of these interactions in a population. Here, we report results from four waves of contact surveys designed to quantify the impact...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873309/ https://www.ncbi.nlm.nih.gov/pubmed/33563992 http://dx.doi.org/10.1038/s41467-021-20990-2 |
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author | Feehan, Dennis M. Mahmud, Ayesha S. |
author_facet | Feehan, Dennis M. Mahmud, Ayesha S. |
author_sort | Feehan, Dennis M. |
collection | PubMed |
description | SARS-CoV-2 is transmitted primarily through close, person-to-person interactions. Physical distancing policies can control the spread of SARS-CoV-2 by reducing the amount of these interactions in a population. Here, we report results from four waves of contact surveys designed to quantify the impact of these policies during the COVID-19 pandemic in the United States. We surveyed 9,743 respondents between March 22 and September 26, 2020. We find that interpersonal contact has been dramatically reduced in the US, with an 82% (95%CI: 80%–83%) reduction in the average number of daily contacts observed during the first wave compared to pre-pandemic levels. However, we find increases in contact rates over the subsequent waves. We also find that certain demographic groups, including people under 45 and males, have significantly higher contact rates than the rest of the population. Tracking these changes can provide rapid assessments of the impact of physical distancing policies and help to identify at-risk populations. |
format | Online Article Text |
id | pubmed-7873309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78733092021-02-24 Quantifying population contact patterns in the United States during the COVID-19 pandemic Feehan, Dennis M. Mahmud, Ayesha S. Nat Commun Article SARS-CoV-2 is transmitted primarily through close, person-to-person interactions. Physical distancing policies can control the spread of SARS-CoV-2 by reducing the amount of these interactions in a population. Here, we report results from four waves of contact surveys designed to quantify the impact of these policies during the COVID-19 pandemic in the United States. We surveyed 9,743 respondents between March 22 and September 26, 2020. We find that interpersonal contact has been dramatically reduced in the US, with an 82% (95%CI: 80%–83%) reduction in the average number of daily contacts observed during the first wave compared to pre-pandemic levels. However, we find increases in contact rates over the subsequent waves. We also find that certain demographic groups, including people under 45 and males, have significantly higher contact rates than the rest of the population. Tracking these changes can provide rapid assessments of the impact of physical distancing policies and help to identify at-risk populations. Nature Publishing Group UK 2021-02-09 /pmc/articles/PMC7873309/ /pubmed/33563992 http://dx.doi.org/10.1038/s41467-021-20990-2 Text en © The Author(s) 2021 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 Feehan, Dennis M. Mahmud, Ayesha S. Quantifying population contact patterns in the United States during the COVID-19 pandemic |
title | Quantifying population contact patterns in the United States during the COVID-19 pandemic |
title_full | Quantifying population contact patterns in the United States during the COVID-19 pandemic |
title_fullStr | Quantifying population contact patterns in the United States during the COVID-19 pandemic |
title_full_unstemmed | Quantifying population contact patterns in the United States during the COVID-19 pandemic |
title_short | Quantifying population contact patterns in the United States during the COVID-19 pandemic |
title_sort | quantifying population contact patterns in the united states during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873309/ https://www.ncbi.nlm.nih.gov/pubmed/33563992 http://dx.doi.org/10.1038/s41467-021-20990-2 |
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