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Population density and basic reproductive number of COVID-19 across United States counties
The basic reproductive number (R(0)) is a function of contact rates among individuals, transmission probability, and duration of infectiousness. We sought to determine the association between population density and R(0) of SARS-CoV-2 across U.S. counties. We conducted a cross-sectional analysis usin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059825/ https://www.ncbi.nlm.nih.gov/pubmed/33882054 http://dx.doi.org/10.1371/journal.pone.0249271 |
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author | Sy, Karla Therese L. White, Laura F. Nichols, Brooke E. |
author_facet | Sy, Karla Therese L. White, Laura F. Nichols, Brooke E. |
author_sort | Sy, Karla Therese L. |
collection | PubMed |
description | The basic reproductive number (R(0)) is a function of contact rates among individuals, transmission probability, and duration of infectiousness. We sought to determine the association between population density and R(0) of SARS-CoV-2 across U.S. counties. We conducted a cross-sectional analysis using linear mixed models with random intercept and fixed slopes to assess the association of population density and R(0), and controlled for state-level effects using random intercepts. We also assessed whether the association was differential across county-level main mode of transportation percentage as a proxy for transportation accessibility, and adjusted for median household income. The median R(0) among the United States counties was 1.66 (IQR: 1.35–2.11). A population density threshold of 22 people/km(2) was needed to sustain an outbreak. Counties with greater population density have greater rates of transmission of SARS-CoV-2, likely due to increased contact rates in areas with greater density. An increase in one unit of log population density increased R(0) by 0.16 (95% CI: 0.13 to 0.19). This association remained when adjusted for main mode of transportation and household income. The effect of population density on R(0) was not modified by transportation mode. Our findings suggest that dense areas increase contact rates necessary for disease transmission. SARS-CoV-2 R(0) estimates need to consider this geographic variability for proper planning and resource allocation, particularly as epidemics newly emerge and old outbreaks resurge. |
format | Online Article Text |
id | pubmed-8059825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80598252021-05-04 Population density and basic reproductive number of COVID-19 across United States counties Sy, Karla Therese L. White, Laura F. Nichols, Brooke E. PLoS One Research Article The basic reproductive number (R(0)) is a function of contact rates among individuals, transmission probability, and duration of infectiousness. We sought to determine the association between population density and R(0) of SARS-CoV-2 across U.S. counties. We conducted a cross-sectional analysis using linear mixed models with random intercept and fixed slopes to assess the association of population density and R(0), and controlled for state-level effects using random intercepts. We also assessed whether the association was differential across county-level main mode of transportation percentage as a proxy for transportation accessibility, and adjusted for median household income. The median R(0) among the United States counties was 1.66 (IQR: 1.35–2.11). A population density threshold of 22 people/km(2) was needed to sustain an outbreak. Counties with greater population density have greater rates of transmission of SARS-CoV-2, likely due to increased contact rates in areas with greater density. An increase in one unit of log population density increased R(0) by 0.16 (95% CI: 0.13 to 0.19). This association remained when adjusted for main mode of transportation and household income. The effect of population density on R(0) was not modified by transportation mode. Our findings suggest that dense areas increase contact rates necessary for disease transmission. SARS-CoV-2 R(0) estimates need to consider this geographic variability for proper planning and resource allocation, particularly as epidemics newly emerge and old outbreaks resurge. Public Library of Science 2021-04-21 /pmc/articles/PMC8059825/ /pubmed/33882054 http://dx.doi.org/10.1371/journal.pone.0249271 Text en © 2021 Sy et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sy, Karla Therese L. White, Laura F. Nichols, Brooke E. Population density and basic reproductive number of COVID-19 across United States counties |
title | Population density and basic reproductive number of COVID-19 across United States counties |
title_full | Population density and basic reproductive number of COVID-19 across United States counties |
title_fullStr | Population density and basic reproductive number of COVID-19 across United States counties |
title_full_unstemmed | Population density and basic reproductive number of COVID-19 across United States counties |
title_short | Population density and basic reproductive number of COVID-19 across United States counties |
title_sort | population density and basic reproductive number of covid-19 across united states counties |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059825/ https://www.ncbi.nlm.nih.gov/pubmed/33882054 http://dx.doi.org/10.1371/journal.pone.0249271 |
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