Abstract

The aim of this article was to analyze the possible relationship between social inequality indicators and the spatial distribution of ZIKV cases in a state in Northeastern Brazil in 2015-16. This is an ecological study with the data of notified ZIKV cases and the sociodemographic indicators of Rio Grande do Norte state (RN), based on information from the State Public Health Department (SESAP-RN) and DATASUS. The data were analyzed in Terraview version 4.2.2, Geoda version 1.12 and IBM SPSS Statistics 21. Both the average incidence rate (AIR) of ZIKV cases in 2015-16 (Moran = 0.139; p= 0.03) and the AIR of violence (Moran= 0.295; p= 0.02), average household income (Moran= 0.344; p=0.01) and unemployment rate (Moran= 0.231; p=0.01) exhibited a geographic spatial distribution pattern. In multiple linear regression analysis, the variables AIR of violence and average household income explained 55% of the variation in the AIR of ZIKV in 2015-16 (adjusted R2 = 0.55). Municipalities with more notifications of violence and higher average income, such as the state capital, reported a higher number of ZIKV cases, possibly due to better organization, greater awareness of socioenvironmental problems and easier access to health services.

Highlights

  • Resumo O objetivo deste artigo é analisar a possível relação de indicadores que refletem a desigualdade social sobre a distribuição espacial dos casos de Zika vírus (ZIKV) em um estado do Nordeste brasileiro no Biênio 2015-2016

  • The aim of this article was to analyze the possible relationship between social inequality indicators and the spatial distribution of ZIKV cases in a state in Northeastern Brazil in 2015-16

  • This is an ecological study with the data of notified ZIKV cases and the sociodemographic indicators of Rio Grande do Norte state (RN), based on information from the State Public Health Department (SESAP-RN) and DATASUS

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Summary

Artigo Article

Relação dos indicadores de desigualdade social na distribuição espacial dos casos de Zika Vírus. Lizailma Silva Cunha (https://orcid.org/0000-0003-4816-3493) 1 Wilton Rodrigues Medeiros (https://orcid.org/0000-0002-9096-8108) 2 Francisco Assis Vieira Lima Junior (https://orcid.org/0000-0001-8877-5406) 3 Silvana Alves Pereira (https://orcid.org/0000-0002-6226-2837) 1

Coleta de dados e variáveis estudadas
Análise dos dados
Findings
Erro padrão
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