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Geographical patterns of social cohesion drive disparities in early COVID infection hazard
The uneven spread of COVID-19 has resulted in disparate experiences for marginalized populations in urban centers. Using computational models, we examine the effects of local cohesion on COVID-19 spread in social contact networks for the city of San Francisco, finding that more early COVID-19 infect...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944260/ https://www.ncbi.nlm.nih.gov/pubmed/35286198 http://dx.doi.org/10.1073/pnas.2121675119 |
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author | Thomas, Loring J. Huang, Peng Yin, Fan Xu, Junlan Almquist, Zack W. Hipp, John R. Butts, Carter T. |
author_facet | Thomas, Loring J. Huang, Peng Yin, Fan Xu, Junlan Almquist, Zack W. Hipp, John R. Butts, Carter T. |
author_sort | Thomas, Loring J. |
collection | PubMed |
description | The uneven spread of COVID-19 has resulted in disparate experiences for marginalized populations in urban centers. Using computational models, we examine the effects of local cohesion on COVID-19 spread in social contact networks for the city of San Francisco, finding that more early COVID-19 infections occur in areas with strong local cohesion. This spatially correlated process tends to affect Black and Hispanic communities more than their non-Hispanic White counterparts. Local social cohesion thus acts as a potential source of hidden risk for COVID-19 infection. |
format | Online Article Text |
id | pubmed-8944260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-89442602022-03-25 Geographical patterns of social cohesion drive disparities in early COVID infection hazard Thomas, Loring J. Huang, Peng Yin, Fan Xu, Junlan Almquist, Zack W. Hipp, John R. Butts, Carter T. Proc Natl Acad Sci U S A Social Sciences The uneven spread of COVID-19 has resulted in disparate experiences for marginalized populations in urban centers. Using computational models, we examine the effects of local cohesion on COVID-19 spread in social contact networks for the city of San Francisco, finding that more early COVID-19 infections occur in areas with strong local cohesion. This spatially correlated process tends to affect Black and Hispanic communities more than their non-Hispanic White counterparts. Local social cohesion thus acts as a potential source of hidden risk for COVID-19 infection. National Academy of Sciences 2022-03-14 2022-03-22 /pmc/articles/PMC8944260/ /pubmed/35286198 http://dx.doi.org/10.1073/pnas.2121675119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Social Sciences Thomas, Loring J. Huang, Peng Yin, Fan Xu, Junlan Almquist, Zack W. Hipp, John R. Butts, Carter T. Geographical patterns of social cohesion drive disparities in early COVID infection hazard |
title | Geographical patterns of social cohesion drive disparities in early COVID infection hazard |
title_full | Geographical patterns of social cohesion drive disparities in early COVID infection hazard |
title_fullStr | Geographical patterns of social cohesion drive disparities in early COVID infection hazard |
title_full_unstemmed | Geographical patterns of social cohesion drive disparities in early COVID infection hazard |
title_short | Geographical patterns of social cohesion drive disparities in early COVID infection hazard |
title_sort | geographical patterns of social cohesion drive disparities in early covid infection hazard |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944260/ https://www.ncbi.nlm.nih.gov/pubmed/35286198 http://dx.doi.org/10.1073/pnas.2121675119 |
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