Geographical patterns of social cohesion drive disparities in early COVID infection hazard
Published in Proceedings of the National Academies of Sciences, 2022
Abstract
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.
Recommended citation: Thomas, L. J., Huang, P., Yin, F., Xu, J., Almquist, Z. W., Hipp, J. R., & Butts, C. T. (2022). Geographical patterns of social cohesion drive disparities in early COVID infection hazard. Proceedings of the National Academy of Sciences, 119(12).
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