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...

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Detalles Bibliográficos
Autores principales: Thomas, Loring J., Huang, Peng, Yin, Fan, Xu, Junlan, Almquist, Zack W., Hipp, John R., Butts, Carter T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Social Sciences
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
Descripción
Sumario: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.

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