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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...

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Detalles Bibliográficos
Autores principales: Sy, Karla Therese L., White, Laura F., Nichols, Brooke E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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
Descripción
Sumario: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.