Archives of public health = Archives belges de sante publique · 2024
Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions.
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Júnior José Francisco Martoreli, Ramos Antônio Carlos Vieira, Alves Josilene Dália, Berra Thaís Zamboni, Alves Yan Mathias, Tavares Reginaldo Bazon Vaz, Ferezin Letícia Perticarrara, Teibo Titilade Kehinde Ayandeyi, Arcêncio Ricardo Alexandre
Аннотация
BACKGROUND: It is known that leprosy is a socially determined disease, but most studies using spatial analysis have not considered the vulnerabilities present in these territories.
OBJECTIVES: To measure the association between social vulnerability and the burden of leprosy in the urban space of Cuiabá.
METHODS: Ecological study, carried out in Cuiabá, Brazil. Diagnosed cases of leprosy were surveyed through the Notifiable Diseases Information System, from 2008 to 2018. The spatial scan statistics technique of leprosy cases per each Human Development Unit was applied. Social vulnerability was measured based on the Municipal Human Development Index (MHDI), education level and average per capita income. For the spatial correlation between vulnerability and leprosy, Global and local bivariate Moran's index was used.
RESULTS: 8389 cases of leprosy were georeferenced, the majority being male (58%), 30% of cases were not evaluated for degree of physical disability. One of the spatial scan clusters had a relative risk (RR) of 6.93 (95% CI 6.49-7.4), and another had 1360 cases with RR 1.71 (95% CI 1.62-1.82). The bivariate global autocorrelation of Moran's index for MHDI was 0.579, observing 1 High-High in the East region and 1 in South, for education the index was 0.429, 2 High-High in the East and 1 in the South, and 0.145 for average per capita income, 1 High-High in the East.
CONCLUSION: There was a spatial association between leprosy cases and territories with low MHDI, having a percentage of the population without schooling and/or with low income. The study advances knowledge by presenting characteristics of territories most affected by leprosy, verifying the spatial correlation of the disease with the recurrent socioeconomic characteristics in these territories.
OBJECTIVES: To measure the association between social vulnerability and the burden of leprosy in the urban space of Cuiabá.
METHODS: Ecological study, carried out in Cuiabá, Brazil. Diagnosed cases of leprosy were surveyed through the Notifiable Diseases Information System, from 2008 to 2018. The spatial scan statistics technique of leprosy cases per each Human Development Unit was applied. Social vulnerability was measured based on the Municipal Human Development Index (MHDI), education level and average per capita income. For the spatial correlation between vulnerability and leprosy, Global and local bivariate Moran's index was used.
RESULTS: 8389 cases of leprosy were georeferenced, the majority being male (58%), 30% of cases were not evaluated for degree of physical disability. One of the spatial scan clusters had a relative risk (RR) of 6.93 (95% CI 6.49-7.4), and another had 1360 cases with RR 1.71 (95% CI 1.62-1.82). The bivariate global autocorrelation of Moran's index for MHDI was 0.579, observing 1 High-High in the East region and 1 in South, for education the index was 0.429, 2 High-High in the East and 1 in the South, and 0.145 for average per capita income, 1 High-High in the East.
CONCLUSION: There was a spatial association between leprosy cases and territories with low MHDI, having a percentage of the population without schooling and/or with low income. The study advances knowledge by presenting characteristics of territories most affected by leprosy, verifying the spatial correlation of the disease with the recurrent socioeconomic characteristics in these territories.