ArticleTropical medicine & international health : TM & IH2022
Spatial analysis of socio-economic factors and their relationship with the cases of COVID-19 in Pernambuco, Brazil.
Article in Tropical medicine & international health : TM & IH, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The geographical distribution and socioeconomic risk factors of COVID-19, tuberculosis and leprosy in Fortaleza, Brazil.BMC infectious diseases · 2023Article
- Human Development Index Is Associated with COVID-19 Case Fatality Rate in Brazil: An Ecological Study.International journal of environmental research and public health · 2022Article
- Spatial analysis of socio-economic factors and their relationship with the cases of COVID-19 in Pernambuco, Brazil.Tropical medicine & international health : TM & IH · 2022Article
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8 authors.
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Abstract
objectivesTo analyse the spatial distribution of rates of COVID-19 cases and its association with socio-economic conditions in the state of Pernambuco, Brazil.
methodsAutocorrelation (Moran index) and spatial association (Geographically weighted regression) models were used to explain the interrelationships between municipalities and the possible effects of socio-economic factors on rates.
resultsTwo isolated clusters were revealed in the inner part of the state in sparsely inhabited municipalities. The spatial model (Geographically Weighted Regression) was able to explain 50% of the variations in COVID-19 cases. The variables proportion of people with low income, percentage of rented homes, percentage of families in social programs, Gini index and running water had the greatest explanatory power for the increase in infection by COVID-19.
conclusionsOur results provide important information on socio-economic factors related to the spread of COVID-19 and can serve as a basis for decision-making in similar circumstances.
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