TY - JOUR
T1 - Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate
T2 - A nationwide study in the United States
AU - Jiang, Bin
AU - Yang, Yuwen
AU - Chen, Long
AU - Liu, Xueming
AU - Wu, Xueying
AU - Chen, Bin
AU - Webster, Chris
AU - Sullivan, William C.
AU - Larsen, Linda
AU - Wang, Jingjing
AU - Lu, Yi
N1 - Funding Information:
This work was supported by the University of Hong Kong [grant numbers 102010054.088616.01100.302.01] and [grant numbers 104006587.088616.01100.301.01] and the Research Grants Council of the Hong Kong SAR [grant number CityU11207520].
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - Causal mechanisms
KW - COVID-19 pandemic
KW - Forest
KW - Green spaces
KW - Infection risk
KW - Open space
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U2 - 10.1016/j.landurbplan.2022.104583
DO - 10.1016/j.landurbplan.2022.104583
M3 - Article
C2 - 36158763
AN - SCOPUS:85138763338
SN - 0169-2046
VL - 228
JO - Landscape and Urban Planning
JF - Landscape and Urban Planning
M1 - 104583
ER -