County-level exposures to greenness and associations with COVID-19 incidence and mortality in the United States.


Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
08 2021
Historique:
received: 16 11 2020
revised: 10 05 2021
accepted: 11 05 2021
pubmed: 19 5 2021
medline: 16 6 2021
entrez: 18 5 2021
Statut: ppublish

Résumé

COVID-19 is an infectious disease that has killed more than 555,000 people in the US. During a time of social distancing measures and increasing social isolation, green spaces may be a crucial factor to maintain a physically and socially active lifestyle while not increasing risk of infection. We evaluated whether greenness was related to COVID-19 incidence and mortality in the US. We downloaded data on COVID-19 cases and deaths for each US county up through June 7, 2020, from Johns Hopkins University, Center for Systems Science and Engineering Coronavirus Resource Center. We used April-May 2020 Normalized Difference Vegetation Index (NDVI) data, to represent the greenness exposure during the initial COVID-19 outbreak in the US. We fitted negative binomial mixed models to evaluate associations of NDVI with COVID-19 incidence and mortality, adjusting for potential confounders such as county-level demographics, epidemic stage, and other environmental factors. We evaluated whether the associations were modified by population density, proportion of Black residents, median home value, and issuance of stay-at-home orders. An increase of 0.1 in NDVI was associated with a 6% (95% Confidence Interval: 3%, 10%) decrease in COVID-19 incidence rate after adjustment for potential confounders. Associations with COVID-19 incidence were stronger in counties with high population density and in counties with stay-at-home orders. Greenness was not associated with COVID-19 mortality in all counties; however, it was protective in counties with higher population density. Exposures to NDVI were associated with reduced county-level incidence of COVID-19 in the US as well as reduced county-level COVID-19 mortality rates in densely populated counties.

Sections du résumé

BACKGROUND
COVID-19 is an infectious disease that has killed more than 555,000 people in the US. During a time of social distancing measures and increasing social isolation, green spaces may be a crucial factor to maintain a physically and socially active lifestyle while not increasing risk of infection.
OBJECTIVES
We evaluated whether greenness was related to COVID-19 incidence and mortality in the US.
METHODS
We downloaded data on COVID-19 cases and deaths for each US county up through June 7, 2020, from Johns Hopkins University, Center for Systems Science and Engineering Coronavirus Resource Center. We used April-May 2020 Normalized Difference Vegetation Index (NDVI) data, to represent the greenness exposure during the initial COVID-19 outbreak in the US. We fitted negative binomial mixed models to evaluate associations of NDVI with COVID-19 incidence and mortality, adjusting for potential confounders such as county-level demographics, epidemic stage, and other environmental factors. We evaluated whether the associations were modified by population density, proportion of Black residents, median home value, and issuance of stay-at-home orders.
RESULTS
An increase of 0.1 in NDVI was associated with a 6% (95% Confidence Interval: 3%, 10%) decrease in COVID-19 incidence rate after adjustment for potential confounders. Associations with COVID-19 incidence were stronger in counties with high population density and in counties with stay-at-home orders. Greenness was not associated with COVID-19 mortality in all counties; however, it was protective in counties with higher population density.
DISCUSSION
Exposures to NDVI were associated with reduced county-level incidence of COVID-19 in the US as well as reduced county-level COVID-19 mortality rates in densely populated counties.

Identifiants

pubmed: 34004166
pii: S0013-9351(21)00625-3
doi: 10.1016/j.envres.2021.111331
pmc: PMC8123933
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

111331

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES000002
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES028033
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL150119
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

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Auteurs

Jochem O Klompmaker (JO)

Department of Environmental Health, Harvard T. H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, USA. Electronic address: jklompmaker@hsph.harvard.edu.

Jaime E Hart (JE)

Department of Environmental Health, Harvard T. H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.

Isabel Holland (I)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.

M Benjamin Sabath (MB)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.

Xiao Wu (X)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.

Francine Laden (F)

Department of Environmental Health, Harvard T. H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.

Francesca Dominici (F)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.

Peter James (P)

Department of Environmental Health, Harvard T. H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Boston, MA, 02215, USA.

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Classifications MeSH