4.7 Article

The impacts of the built environment on the incidence rate of COVID-19: A case study of King County, Washington

Journal

SUSTAINABLE CITIES AND SOCIETY
Volume 74, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scs.2021.103144

Keywords

Sustainability; Urban density; Socioeconomic factors; Air quality; MLR; Urban planning; Built environment; Post COVID-19 pandemic

Funding

  1. Shanghai Natural Science Foundation [21ZR1466500]
  2. Peking University-Lincoln Institute Center for Urban Development and Land Policy (PLC)

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This study found that while socioeconomic factors are the primary influencers of COVID-19, the built environment also plays a role in affecting the epidemic. Built environment density is positively related to incidence rates, with increased open space contributing to lower rates. The spread of the virus within each community is influenced by overcrowded households.
With COVID-19 prevalent worldwide, current studies have focused on the factors influencing the epidemic. In particular, the built environment deserves immediate attention to produce place-specific strategies to prevent the further spread of coronavirus. This research assessed the impact of the built environment on the incidence rate in King County, US and explored methods of researching infectious diseases in urban areas. Using principal component analysis and the Pearson correlation coefficient to process the data, we built multiple linear regression and geographically weighted regression models at the ZIP code scale. Results indicated that although socioeconomic indicators were the primary factors influencing COVID-19, the built environment affected COVID19 cases from different aspects. Built environment density was positively associated with incidence rates. Specifically, increased open space was conducive to reducing incidence rates. Within each community, overcrowded households led to an increase in incidence rates. This study confirmed previous research into the importance of socioeconomic variables and extended the discussion on spatial and temporal variation in the impacts of urban density on the spread of COVID, effectively guiding sustainable urban development.

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