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Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate: A nationwide study in the United States.
Jiang, Bin; Yang, Yuwen; Chen, Long; Liu, Xueming; Wu, Xueying; Chen, Bin; Webster, Chris; Sullivan, William C; Larsen, Linda; Wang, Jingjing; Lu, Yi.
Afiliación
  • Jiang B; Urban Environments and Human Health Lab, HKUrbanLabs, Faculty of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Yang Y; Division of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Chen L; Urban Environments and Human Health Lab, HKUrbanLabs, Faculty of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Liu X; Division of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Wu X; Department of Architecture and Civil Engineering, College of Engineering, City University of Hong Kong, Hong Kong Special Administrative Region.
  • Chen B; Urban Environments and Human Health Lab, HKUrbanLabs, Faculty of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Webster C; Division of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Sullivan WC; Department of Architecture and Civil Engineering, College of Engineering, City University of Hong Kong, Hong Kong Special Administrative Region.
  • Larsen L; Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Department of Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Wang J; Urban Systems Institute, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Lu Y; HKU Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong Special Administrative Region.
Landsc Urban Plan ; 228: 104583, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36158763
ABSTRACT
The coronavirus pandemic is an ongoing global crisis that has profoundly harmed public health. Although studies found exposure to green spaces can provide multiple health benefits, the relationship between exposure to green spaces and the SARS-CoV-2 infection rate is unclear. This is a critical knowledge gap for research and practice. In this study, we examined the relationship between total green space, seven types of green space, and a year of SARS-CoV-2 infection data across 3,108 counties in the contiguous United States, after controlling for spatial autocorrelation and multiple types of covariates. First, we examined the association between total green space and SARS-CoV-2 infection rate. Next, we examined the association between different types of green space and SARS-CoV-2 infection rate. Then, we examined forest-infection rate association across five time periods and five urbanicity levels. Lastly, we examined the association between infection rate and population-weighted exposure to forest at varying buffer distances (100 m to 4 km). We found that total green space was negative associated with the SARS-CoV-2 infection rate. Furthermore, two forest variables (forest outside park and forest inside park) had the strongest negative association with the infection rate, while open space variables had mixed associations with the infection rate. Forest outside park was more effective than forest inside park. The optimal buffer distances associated with lowest infection rate are within 1,200 m for forest outside park and within 600 m for forest inside park. Altogether, the findings suggest that green spaces, especially nearby forest, may significantly mitigate risk of SARS-CoV-2 infection.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Landsc Urban Plan Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Landsc Urban Plan Año: 2022 Tipo del documento: Article