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Geographical patterns of social cohesion drive disparities in early COVID infection hazard

Author

Listed:
  • Loring J. Thomas

    (a Department of Sociology, University of California, Irvine, CA 92697;)

  • Peng Huang

    (a Department of Sociology, University of California, Irvine, CA 92697;; b Department of Statistics, University of California, Irvine, CA 92697;)

  • Fan Yin

    (b Department of Statistics, University of California, Irvine, CA 92697;)

  • Junlan Xu

    (b Department of Statistics, University of California, Irvine, CA 92697;)

  • Zack W. Almquist

    (c Department of Sociology, University of Washington, Seattle, WA 98195;; d Department of Statistics, University of Washington, Seattle, WA 98195;; e Center for Studies in Demography and Ecology, University of Washington, Seattle, WA 98195;; f Center for Statistics and the Social Sciences, University of Washington, Seattle, WA 98195;; g eScience Institute, University of Washington, Seattle, WA 98195;)

  • John R. Hipp

    (a Department of Sociology, University of California, Irvine, CA 92697;; h Department of Criminology, Law & Society, University of California, Irvine, CA 92697;)

  • Carter T. Butts

    (a Department of Sociology, University of California, Irvine, CA 92697;; j Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697; i Department of Computer Science, University of California, Irvine, CA 92697;)

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.

Suggested Citation

  • Loring J. Thomas & Peng Huang & Fan Yin & Junlan Xu & Zack W. Almquist & John R. Hipp & Carter T. Butts, 2022. "Geographical patterns of social cohesion drive disparities in early COVID infection hazard," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(12), pages 2121675119-, March.
    • Handle: RePEc:nas:journl:v:119:y:2022:p:e2121675119
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