| Autor: |
Loring J. Thomas, Peng Huang, Fan Yin, Junlan Xu, Zack W. Almquist, John R. Hipp, Carter T. Butts |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Proceedings of the National Academy of Sciences of the United States of America. 119(12) |
| ISSN: |
1091-6490 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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