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Analyzing the spatial determinants of local Covid-19 transmission in the United States
The Coronavirus Disease 19 (COVID-19) has quickly spread across the United States (U.S.) since community transmission was first identified in January 2020. While a number of studies have examined individual-level risk factors for COVID-19, few studies have examined geographic hotspots and community...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498441/ https://www.ncbi.nlm.nih.gov/pubmed/33254938 http://dx.doi.org/10.1016/j.scitotenv.2020.142396 |
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author | Andersen, Lauren M. Harden, Stella R. Sugg, Margaret M. Runkle, Jennifer D. Lundquist, Taylor E. |
author_facet | Andersen, Lauren M. Harden, Stella R. Sugg, Margaret M. Runkle, Jennifer D. Lundquist, Taylor E. |
author_sort | Andersen, Lauren M. |
collection | PubMed |
description | The Coronavirus Disease 19 (COVID-19) has quickly spread across the United States (U.S.) since community transmission was first identified in January 2020. While a number of studies have examined individual-level risk factors for COVID-19, few studies have examined geographic hotspots and community drivers associated with spatial patterns in local transmission. The objective of the study is to understand the spatial determinants of the pandemic in counties across the U.S. by comparing socioeconomic variables to case and death data from January 22nd to June 30th 2020. A cluster analysis was performed to examine areas of high-risk, followed by a three-stage regression to examine contextual factors associated with elevated risk patterns for morbidity and mortality. The factors associated with community-level vulnerability included age, disability, language, race, occupation, and urban status. We recommend that cluster detection and spatial analysis be included in population-based surveillance strategies to better inform early case detection and prioritize healthcare resources. |
format | Online Article Text |
id | pubmed-7498441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74984412020-09-18 Analyzing the spatial determinants of local Covid-19 transmission in the United States Andersen, Lauren M. Harden, Stella R. Sugg, Margaret M. Runkle, Jennifer D. Lundquist, Taylor E. Sci Total Environ Article The Coronavirus Disease 19 (COVID-19) has quickly spread across the United States (U.S.) since community transmission was first identified in January 2020. While a number of studies have examined individual-level risk factors for COVID-19, few studies have examined geographic hotspots and community drivers associated with spatial patterns in local transmission. The objective of the study is to understand the spatial determinants of the pandemic in counties across the U.S. by comparing socioeconomic variables to case and death data from January 22nd to June 30th 2020. A cluster analysis was performed to examine areas of high-risk, followed by a three-stage regression to examine contextual factors associated with elevated risk patterns for morbidity and mortality. The factors associated with community-level vulnerability included age, disability, language, race, occupation, and urban status. We recommend that cluster detection and spatial analysis be included in population-based surveillance strategies to better inform early case detection and prioritize healthcare resources. Elsevier 2021-02-01 2020-09-18 /pmc/articles/PMC7498441/ /pubmed/33254938 http://dx.doi.org/10.1016/j.scitotenv.2020.142396 Text en 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 Andersen, Lauren M. Harden, Stella R. Sugg, Margaret M. Runkle, Jennifer D. Lundquist, Taylor E. Analyzing the spatial determinants of local Covid-19 transmission in the United States |
title | Analyzing the spatial determinants of local Covid-19 transmission in the United States |
title_full | Analyzing the spatial determinants of local Covid-19 transmission in the United States |
title_fullStr | Analyzing the spatial determinants of local Covid-19 transmission in the United States |
title_full_unstemmed | Analyzing the spatial determinants of local Covid-19 transmission in the United States |
title_short | Analyzing the spatial determinants of local Covid-19 transmission in the United States |
title_sort | analyzing the spatial determinants of local covid-19 transmission in the united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498441/ https://www.ncbi.nlm.nih.gov/pubmed/33254938 http://dx.doi.org/10.1016/j.scitotenv.2020.142396 |
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