ArticleSpatial and spatio-temporal epidemiology2022
Bayesian spatial modeling of COVID-19 case-fatality rate inequalities.
Article in Spatial and spatio-temporal epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Exploring Spatial Inequalities in COVID-19 Mortality and Their Association With Multidimensional Poverty in Colombia: A Spatial Analysis Study.International journal of public health · 2024Article
- Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia.International journal of environmental research and public health · 2023Article
- Preventive measures focused on the urban-rural interface protect rural food-producing communities from SARS-CoV-2.Biomedica : revista del Instituto Nacional de Salud · 2022Article
- Identifying spatiotemporal patterns of COVID-19 transmissions and the drivers of the patterns in Toronto: a Bayesian hierarchical spatiotemporal modelling.Scientific reports · 2022Article
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Authors and funding
5 authors.
Funding
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Abstract
The ongoing outbreak of COVID-19 challenges the health systems and epidemiological responses of all countries worldwide. Although preventive measures have been globally considered, the spatial heterogeneity of its effectiveness is evident, underscoring global health inequalities. Using Bayesian-based Markov chain Monte Carlo simulations, we identify the spatial association of socioeconomic factors and the risk for dying from COVID-19 in Colombia. We confirm that from March 16 to October 04, 2020, the COVID-19 case-fatality rate and the multidimensional poverty index have a heterogeneous spatial distribution. Spatial analysis reveals that the risk of dying from COVID-19 increases in regions with a higher proportion of poor people with dwelling (RR 1.74 95%CI = 1.54-9.75), educational (RR 1.69 95%CI = 1.36-5.94), childhood/youth (RR 1.35 95%CI = 1.08-4.03), and health (RR 1.16 95%CI = 1.06-2.04) deprivations. These findings evidence the vulnerability of most disadvantaged members of society to dying in a pandemic and assist the spatial planning of preventive strategies focused on vulnerable communities.
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