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What county-level factors influence COVID-19 incidence in the United States? Findings from the first wave of the pandemic.
Wang, Lan; Zhang, Surong; Yang, Zilin; Zhao, Ziyu; Moudon, Anne Vernez; Feng, Huasen; Liang, Junhao; Sun, Wenyao; Cao, Buyang.
  • Wang L; College of Architecture and Urban Planning, Tongji University, China.
  • Zhang S; College of Architecture and Urban Planning, Tongji University, China.
  • Yang Z; Cultural Heritage Studies Institute of Archaeology, University College London, United Kingdom of Great Britain and Northern Ireland.
  • Zhao Z; Department of City and Regional Planning, Cornell University, United States of America.
  • Moudon AV; Urban Form Lab, Department of Urban Design and Planning, University of Washington, United States of America.
  • Feng H; College of Architecture and Urban Planning, Tongji University, China.
  • Liang J; College of Software Engineering, Tongji University, China.
  • Sun W; College of Architecture and Urban Planning, Tongji University, China.
  • Cao B; College of Software Engineering, Tongji University, China.
Cities ; 118: 103396, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1330695
ABSTRACT
Effective control of the COVID-19 pandemic via appropriate management of the built environment is an urgent issue. This study develops a research framework to explore the relationship between COVID-19 incidence and influential factors related to protection of vulnerable populations, intervention in transmission pathways, and provision of healthcare resources. Relevant data for regression analysis and structural equation modeling is collected during the first wave of the pandemic in the United States, from counties with over 100 confirmed cases. In addition to confirming certain factors found in the existing literature, we uncover six new factors significantly associated with COVID-19 incidence. Furthermore, incidence during the lockdown is found to significantly affect incidence after the reopening, highlighting that timely quarantining and treating of patients is essential to avoid the snowballing transmission over time. These findings suggest ways to mitigate the negative effects of subsequent waves of the pandemic, such as special attention of infection prevention in neighborhoods with unsanitary and overcrowded housing, minimization of social activities organized by neighborhood associations, and contactless home delivery service of healthy food. Also worth noting is the need to provide support to people less capable of complying with the stay-at-home order because of their occupations or socio-economic disadvantage.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Reviews Language: English Journal: Cities Year: 2021 Document Type: Article Affiliation country: J.cities.2021.103396

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Reviews Language: English Journal: Cities Year: 2021 Document Type: Article Affiliation country: J.cities.2021.103396