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Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability
BACKGROUND. To quantify lessons learned to better prepare for similar pandemic crisis in the future, we assess the overall impact of social distancing on the daily growth rate of COVID-19 infections in the U.S. during the initial phase of the pandemic and the impacts’ heterogeneity by urbanity and s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452108/ https://www.ncbi.nlm.nih.gov/pubmed/34545359 http://dx.doi.org/10.21203/rs.3.rs-798357/v1 |
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author | Pilehvari, Asal You, Wen Chen, Jiangzhuo Krulick, John Venkatramanan, Srini Marathe, Achla |
author_facet | Pilehvari, Asal You, Wen Chen, Jiangzhuo Krulick, John Venkatramanan, Srini Marathe, Achla |
author_sort | Pilehvari, Asal |
collection | PubMed |
description | BACKGROUND. To quantify lessons learned to better prepare for similar pandemic crisis in the future, we assess the overall impact of social distancing on the daily growth rate of COVID-19 infections in the U.S. during the initial phase of the pandemic and the impacts’ heterogeneity by urbanity and social vulnerability of the counties. The initial phase is chosen to purposely identify the essential and largest impact of the first-line of defense measure for similar pandemic: social distancing. METHODS. Spatial Durbin models with county fixed effects were used to account for spatial dependencies and identify spatial spillover effects and spatial heterogeneity. RESULTS. Besides the substantial curve flattening effects of social distancing, our results show significant spillover effects induced by neighboring counties’ social distancing levels even in the absence of significant within-county effects. Urban and areas with high social vulnerability are the ones benefit the most from social distancing and high level of compliance is needed. Moderate level is enough in reaching the peak marginal impact in rural and areas with low social vulnerability. |
format | Online Article Text |
id | pubmed-8452108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-84521082021-09-21 Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability Pilehvari, Asal You, Wen Chen, Jiangzhuo Krulick, John Venkatramanan, Srini Marathe, Achla Res Sq Article BACKGROUND. To quantify lessons learned to better prepare for similar pandemic crisis in the future, we assess the overall impact of social distancing on the daily growth rate of COVID-19 infections in the U.S. during the initial phase of the pandemic and the impacts’ heterogeneity by urbanity and social vulnerability of the counties. The initial phase is chosen to purposely identify the essential and largest impact of the first-line of defense measure for similar pandemic: social distancing. METHODS. Spatial Durbin models with county fixed effects were used to account for spatial dependencies and identify spatial spillover effects and spatial heterogeneity. RESULTS. Besides the substantial curve flattening effects of social distancing, our results show significant spillover effects induced by neighboring counties’ social distancing levels even in the absence of significant within-county effects. Urban and areas with high social vulnerability are the ones benefit the most from social distancing and high level of compliance is needed. Moderate level is enough in reaching the peak marginal impact in rural and areas with low social vulnerability. American Journal Experts 2021-09-14 /pmc/articles/PMC8452108/ /pubmed/34545359 http://dx.doi.org/10.21203/rs.3.rs-798357/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under aCreative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Pilehvari, Asal You, Wen Chen, Jiangzhuo Krulick, John Venkatramanan, Srini Marathe, Achla Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability |
title | Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability |
title_full | Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability |
title_fullStr | Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability |
title_full_unstemmed | Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability |
title_short | Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability |
title_sort | differential impact of social distancing on covid-19 spread in the u.s.: by rurality and social vulnerability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452108/ https://www.ncbi.nlm.nih.gov/pubmed/34545359 http://dx.doi.org/10.21203/rs.3.rs-798357/v1 |
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