4.7 Article

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

Journal

SUSTAINABLE CITIES AND SOCIETY
Volume 69, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scs.2021.102859

Keywords

Coronavirus; COVID-19 incidence; Ecosystem services; Urban forest; Vegetation cover; Nature?s contribution to people

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The study investigated the impact of COVID-19 in the Atlantic Forest of Brazil and found a strong correlation between higher urbanization and COVID-19. Socioeconomic and eco-environmental factors also showed meaningful relationships with health parameters related to COVID-19.
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. Socioeconomic 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.

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