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What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic
Effective control of the COVID-19 pandemic via appropriate management of the built environment is an urgent issue. This study develops a research framework to explore the relationship between COVID-19 incidence and influential factors related to protection of vulnerable populations, intervention in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316070/ https://www.ncbi.nlm.nih.gov/pubmed/34334868 http://dx.doi.org/10.1016/j.cities.2021.103396 |
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author | Wang, Lan Zhang, Surong Yang, Zilin Zhao, Ziyu Moudon, Anne Vernez Feng, Huasen Liang, Junhao Sun, Wenyao Cao, Buyang |
author_facet | Wang, Lan Zhang, Surong Yang, Zilin Zhao, Ziyu Moudon, Anne Vernez Feng, Huasen Liang, Junhao Sun, Wenyao Cao, Buyang |
author_sort | Wang, Lan |
collection | PubMed |
description | Effective control of the COVID-19 pandemic via appropriate management of the built environment is an urgent issue. This study develops a research framework to explore the relationship between COVID-19 incidence and influential factors related to protection of vulnerable populations, intervention in transmission pathways, and provision of healthcare resources. Relevant data for regression analysis and structural equation modeling is collected during the first wave of the pandemic in the United States, from counties with over 100 confirmed cases. In addition to confirming certain factors found in the existing literature, we uncover six new factors significantly associated with COVID-19 incidence. Furthermore, incidence during the lockdown is found to significantly affect incidence after the reopening, highlighting that timely quarantining and treating of patients is essential to avoid the snowballing transmission over time. These findings suggest ways to mitigate the negative effects of subsequent waves of the pandemic, such as special attention of infection prevention in neighborhoods with unsanitary and overcrowded housing, minimization of social activities organized by neighborhood associations, and contactless home delivery service of healthy food. Also worth noting is the need to provide support to people less capable of complying with the stay-at-home order because of their occupations or socio-economic disadvantage. |
format | Online Article Text |
id | pubmed-8316070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83160702021-07-28 What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic Wang, Lan Zhang, Surong Yang, Zilin Zhao, Ziyu Moudon, Anne Vernez Feng, Huasen Liang, Junhao Sun, Wenyao Cao, Buyang Cities Article Effective control of the COVID-19 pandemic via appropriate management of the built environment is an urgent issue. This study develops a research framework to explore the relationship between COVID-19 incidence and influential factors related to protection of vulnerable populations, intervention in transmission pathways, and provision of healthcare resources. Relevant data for regression analysis and structural equation modeling is collected during the first wave of the pandemic in the United States, from counties with over 100 confirmed cases. In addition to confirming certain factors found in the existing literature, we uncover six new factors significantly associated with COVID-19 incidence. Furthermore, incidence during the lockdown is found to significantly affect incidence after the reopening, highlighting that timely quarantining and treating of patients is essential to avoid the snowballing transmission over time. These findings suggest ways to mitigate the negative effects of subsequent waves of the pandemic, such as special attention of infection prevention in neighborhoods with unsanitary and overcrowded housing, minimization of social activities organized by neighborhood associations, and contactless home delivery service of healthy food. Also worth noting is the need to provide support to people less capable of complying with the stay-at-home order because of their occupations or socio-economic disadvantage. The Author(s). Published by Elsevier Ltd. 2021-11 2021-07-28 /pmc/articles/PMC8316070/ /pubmed/34334868 http://dx.doi.org/10.1016/j.cities.2021.103396 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wang, Lan Zhang, Surong Yang, Zilin Zhao, Ziyu Moudon, Anne Vernez Feng, Huasen Liang, Junhao Sun, Wenyao Cao, Buyang What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic |
title | What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic |
title_full | What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic |
title_fullStr | What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic |
title_full_unstemmed | What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic |
title_short | What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic |
title_sort | what county-level factors influence covid-19 incidence in the united states? findings from the first wave of the pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316070/ https://www.ncbi.nlm.nih.gov/pubmed/34334868 http://dx.doi.org/10.1016/j.cities.2021.103396 |
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