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State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project
A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vuln...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246150/ https://www.ncbi.nlm.nih.gov/pubmed/37293100 http://dx.doi.org/10.1101/2023.05.19.23290222 |
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author | Noppert, Grace A Clarke, Philippa Hoover, Andrew Kubale, John Melendez, Robert Duchowny, Kate Hegde, Sonia T |
author_facet | Noppert, Grace A Clarke, Philippa Hoover, Andrew Kubale, John Melendez, Robert Duchowny, Kate Hegde, Sonia T |
author_sort | Noppert, Grace A |
collection | PubMed |
description | A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities. Using spatially-referenced data from 21 states at the ZIP code or census tract level, we documented how the distribution of COVID-19 at the neighborhood-level varies significantly within and between states. The median case count per neighborhood (IQR) in Oregon was 3,608 (2,487) per 100,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (IQR) was 8,142 (11,031) per 100,000. We also found that the association between features of the neighborhood social environment and burden varied in magnitude and direction by state. Our findings underscore the importance of local contexts when addressing the long-term social and economic fallout communities will face from COVID-19. |
format | Online Article Text |
id | pubmed-10246150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102461502023-06-08 State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project Noppert, Grace A Clarke, Philippa Hoover, Andrew Kubale, John Melendez, Robert Duchowny, Kate Hegde, Sonia T medRxiv Article A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities. Using spatially-referenced data from 21 states at the ZIP code or census tract level, we documented how the distribution of COVID-19 at the neighborhood-level varies significantly within and between states. The median case count per neighborhood (IQR) in Oregon was 3,608 (2,487) per 100,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (IQR) was 8,142 (11,031) per 100,000. We also found that the association between features of the neighborhood social environment and burden varied in magnitude and direction by state. Our findings underscore the importance of local contexts when addressing the long-term social and economic fallout communities will face from COVID-19. Cold Spring Harbor Laboratory 2023-05-19 /pmc/articles/PMC10246150/ /pubmed/37293100 http://dx.doi.org/10.1101/2023.05.19.23290222 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Noppert, Grace A Clarke, Philippa Hoover, Andrew Kubale, John Melendez, Robert Duchowny, Kate Hegde, Sonia T State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project |
title | State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project |
title_full | State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project |
title_fullStr | State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project |
title_full_unstemmed | State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project |
title_short | State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project |
title_sort | state variation in neighborhood covid-19 burden: findings from the covid neighborhood project |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246150/ https://www.ncbi.nlm.nih.gov/pubmed/37293100 http://dx.doi.org/10.1101/2023.05.19.23290222 |
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