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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Archives of Public Health
Subjects:
Online Access:https://doi.org/10.1186/s13690-024-01484-1
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841559836234350592
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.
format Article
id doaj-art-aae63111f5ed4c5ba427bc95483fa71c
institution Kabale University
issn 2049-3258
language English
publishDate 2024-12-01
publisher BMC
record_format Article
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
work_keys_str_mv AT josefranciscomartorelijunior measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT antoniocarlosvieiraramos measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT josilenedaliaalves measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT thaiszamboniberra measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT yanmathiasalves measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT reginaldobazonvaztavares measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT leticiaperticarraraferezin measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT titiladekehindeayandeyiteibo measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions
AT ricardoalexandrearcencio measuringsocialvulnerabilityincommunitiesanditsassociationwithleprosyburdenthroughspatialintelligenceincentralwestbraziltoguidestrategicactions