Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions
Abstract 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...
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2024-12-01
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Online Access: | https://doi.org/10.1186/s13690-024-01484-1 |
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author | José Francisco Martoreli Júnior Antônio Carlos Vieira Ramos Josilene Dália Alves Thaís Zamboni Berra Yan Mathias Alves Reginaldo Bazon Vaz Tavares Letícia Perticarrara Ferezin Titilade Kehinde Ayandeyi Teibo Ricardo Alexandre Arcêncio |
author_facet | José Francisco Martoreli Júnior Antônio Carlos Vieira Ramos Josilene Dália Alves Thaís Zamboni Berra Yan Mathias Alves Reginaldo Bazon Vaz Tavares Letícia Perticarrara Ferezin Titilade Kehinde Ayandeyi Teibo Ricardo Alexandre Arcêncio |
author_sort | José Francisco Martoreli Júnior |
collection | DOAJ |
description | Abstract 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. |
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institution | Kabale University |
issn | 2049-3258 |
language | English |
publishDate | 2024-12-01 |
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series | Archives of Public Health |
spelling | doaj-art-aae63111f5ed4c5ba427bc95483fa71c2025-01-05T12:09:25ZengBMCArchives of Public Health2049-32582024-12-018211910.1186/s13690-024-01484-1Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actionsJosé Francisco Martoreli Júnior0Antônio Carlos Vieira Ramos1Josilene Dália Alves2Thaís Zamboni Berra3Yan Mathias Alves4Reginaldo Bazon Vaz Tavares5Letícia Perticarrara Ferezin6Titilade Kehinde Ayandeyi Teibo7Ricardo Alexandre Arcêncio8Department of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of NursingDepartment of Nursing, State University of Minas GeraisDepartment of Nursing, Federal University of Mato GrossoDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of NursingDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of NursingDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of NursingDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of NursingDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of NursingDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of NursingAbstract 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.https://doi.org/10.1186/s13690-024-01484-1LeprosySocial VulnerabilitySpatial Analysis |
spellingShingle | José Francisco Martoreli Júnior Antônio Carlos Vieira Ramos Josilene Dália Alves Thaís Zamboni Berra Yan Mathias Alves Reginaldo Bazon Vaz Tavares Letícia Perticarrara Ferezin Titilade Kehinde Ayandeyi Teibo Ricardo Alexandre Arcêncio Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions Archives of Public Health Leprosy Social Vulnerability Spatial Analysis |
title | Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions |
title_full | Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions |
title_fullStr | Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions |
title_full_unstemmed | Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions |
title_short | Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions |
title_sort | measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central west brazil to guide strategic actions |
topic | Leprosy Social Vulnerability Spatial Analysis |
url | https://doi.org/10.1186/s13690-024-01484-1 |
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