Understanding infection risks of COVID-19 in the city: an investigation of infected neighborhoods in Wuhan
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912239126052864 |
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| author | Xu, Weipan Li, Ying Li, Xun |
| author_facet | Xu, Weipan Li, Ying Li, Xun |
| contents | During the COVID-19 pandemic, built environments in dense urban settings become major sources of infection. This study tests the difference of demographics and surrounding built environments across high-, medium- and low-infection neighborhoods, to inform the high-risk areas in the city. We found that high-infection neighborhoods own a higher ratio of aged population than other neighborhoods on average. However, it shows no statistical difference in terms of population density. Additionally, high-infection neighborhoods are closer to high-risk built environments than the others. In a walking distance, they also can access more of the high-risk built environments except for the wholesale markets and shopping malls. These findings advise policy-makers to deploy social distancing measures in precision, regulating the access of high-risk facilities to mitigate the impacts of COVID-19. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2502_14649 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Understanding infection risks of COVID-19 in the city: an investigation of infected neighborhoods in Wuhan Xu, Weipan Li, Ying Li, Xun Physics and Society During the COVID-19 pandemic, built environments in dense urban settings become major sources of infection. This study tests the difference of demographics and surrounding built environments across high-, medium- and low-infection neighborhoods, to inform the high-risk areas in the city. We found that high-infection neighborhoods own a higher ratio of aged population than other neighborhoods on average. However, it shows no statistical difference in terms of population density. Additionally, high-infection neighborhoods are closer to high-risk built environments than the others. In a walking distance, they also can access more of the high-risk built environments except for the wholesale markets and shopping malls. These findings advise policy-makers to deploy social distancing measures in precision, regulating the access of high-risk facilities to mitigate the impacts of COVID-19. |
| title | Understanding infection risks of COVID-19 in the city: an investigation of infected neighborhoods in Wuhan |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2502.14649 |