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Revista de Biología Tropical
On-line version ISSN 0034-7744Print version ISSN 0034-7744
Abstract
BONILLA-CARRION, Roger; EVANS-MEZA, Ronald and SALVATIERRA-DURAN, Roberto. The Effect of Sociodemographic Factors on COVID-19 Mortality in Costa Rica: A Geographic Approach. Rev. biol. trop [online]. 2023, vol.71, n.1, e51679. ISSN 0034-7744. http://dx.doi.org/10.15517/rev.biol.trop..v71i1.51679.
Introduction:
The coronavirus disease (COVID-19) has spread among the population of Costa Rica and has had a great global impact. However, there are important geographic differences in mortality from COVID-19 among world regions and within Costa Rica.
Objective:
To explore the effect of some sociodemographic factors on COVID-19 mortality in the small geographic divisions or cantons of Costa Rica.
Methods:
We used official records and applied a classical epidemiological Poisson regression model and a geographically weighted regression model.
Results:
We obtained a lower Akaike Information Criterion with the weighted regression (927.1 in Poisson regression versus 358.4 in weighted regression). The cantons with higher risk of mortality from COVID-19 had a denser population; higher material well-being; less population by health service units and are located near the Pacific coast.
Conclusions:
A specific COVID-19 intervention strategy should concentrate on Pacific coast areas with denser population, higher material well-being and less population by health service units.
Keywords : COVID-19; socio-demographic factors; generalized linear models (GLM); Poisson regression; geographically weighted regression (GWR); Costa Rica..
