The influence of urban, socio-economic, and eco-environmental aspects on COVID-19 cases, deaths and mortality: A multi-city case in the Atlantic Forest, Brazil
- PMID: 33758745
- PMCID: PMC7977034
- DOI: 10.1016/j.scs.2021.102859
The influence of urban, socio-economic, and eco-environmental aspects on COVID-19 cases, deaths and mortality: A multi-city case in the Atlantic Forest, Brazil
Abstract
Urban, socio-economic and eco-environmental influences on people's health are widely studied and well-known. Their relation to COVID-19, however, is still a novel research topic. Thus, we investigated if COVID-19 parameters are higher in cities with higher urbanization, worst socio-economic conditions, and less vegetation cover, considering 3,052 municipalities in the Atlantic Forest, Brazil. Brazil is the second country most affected by COVID-19, and the Atlantic Forest is its most urbanized, populous, and deforested region. Indexes were created through multivariate principal components analysis using secondary official data: population, demographic density, absolute built area, and relative built area as urbanization parameters; average per capita income, relative people vulnerable to poverty, illiteracy rate of the population aged 18 or over, and human development index (HDI) as socio-economic parameters; and absolute and relative vegetation cover, absolute and relative forest cover as eco-environmental parameters. These indexes were correlated with absolute and relative confirmed COVID-19 cases, absolute and relative confirmed deaths, and mortality rate via Spearman's and Kendall's coefficients. Strong correlations (>0.50) were found between COVID-19 and urbanization. Socio-economic and eco-environmental aspects, although weaker predictors of COVID-19, presented meaningful relations with the health parameters. This study contributes to the evidence regarding COVID-19 incidence in the Brazilian population.
Keywords: COVID-19 incidence; Coronavirus; Ecosystem services; Nature’s contribution to people; Urban forest; Vegetation cover.
© 2021 Elsevier Ltd. All rights reserved.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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References
-
- Abdi H., Williams L.J. Principal component analysis. WIREs Computational Statistics. 2010;2(4):433–459. doi: 10.1002/wics.101. - DOI
-
- Arantes B.L., Mauad T., da Silva Filho D.F. Urban forests, air quality and health: A systematic review. International Forestry Review. 2019;21(2):167–181. doi: 10.1505/146554819826606559. - DOI
-
- Auler A.C., Cássaro F.A.M., da Silva V.O., Pires L.F. Evidence that high temperatures and intermediate relative humidity might favor the spread of COVID-19 in tropical climate: A case study for the most affected Brazilian cities. The Science of the Total Environment. 2020;729 doi: 10.1016/j.scitotenv.2020.139090. - DOI - PMC - PubMed
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