Projects per year
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.
| Original language | English |
|---|---|
| Article number | 104583 |
| Journal | Landscape and Urban Planning |
| Volume | 228 |
| Online published | 20 Sept 2022 |
| DOIs | |
| Publication status | Published - Dec 2022 |
Funding
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].
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Keywords
- Causal mechanisms
- COVID-19 pandemic
- Forest
- Green spaces
- Infection risk
- Open space
RGC Funding Information
- RGC-funded
Policy Impact
- Cited in Policy Documents
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- 1 Finished
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GRF: Urban Greenness and Urban Residents’ Health: A Novel Method to Assess Street Greenery
LU, Y. (Principal Investigator / Project Coordinator), LO, S. M. (Co-Investigator) & Zimring, C. (Co-Investigator)
1/01/21 → 24/06/25
Project: Research
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