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Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities

BACKGROUND: Leprosy is a neglected disease caused by Mycobacterium leprae. Brazil has the second largest number of cases in the world. OBJECTIVES: To analyze the spatial distribution of leprosy in the state of BAHIA, Brazil, and the association between his occurrence and the synthetic indicators of...

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Autores principales: de Souza, Carlos Dornels Freire, Luna, Carlos Feitosa, Magalhães, Mônica de Avelar Figueiredo Mafra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Dermatologia 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486086/
https://www.ncbi.nlm.nih.gov/pubmed/31090823
http://dx.doi.org/10.1590/abd1806-4841.20197554
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author de Souza, Carlos Dornels Freire
Luna, Carlos Feitosa
Magalhães, Mônica de Avelar Figueiredo Mafra
author_facet de Souza, Carlos Dornels Freire
Luna, Carlos Feitosa
Magalhães, Mônica de Avelar Figueiredo Mafra
author_sort de Souza, Carlos Dornels Freire
collection PubMed
description BACKGROUND: Leprosy is a neglected disease caused by Mycobacterium leprae. Brazil has the second largest number of cases in the world. OBJECTIVES: To analyze the spatial distribution of leprosy in the state of BAHIA, Brazil, and the association between his occurrence and the synthetic indicators of municipal socioeconomic performance, social vulnerability and income inequality. METHODS: An ecological study with secondary data obtained from the National System of Notifiable Diseases. Dependent variables: coefficient of detection in the general population and in the population under 15 years old and the rate of grade II of physical disability. Independent variables: Synthetic indicators of socioeconomic performance, social vulnerability and income inequality. RESULTS: The highest coefficients of detection of new cases in the general population and in children under 15 years old are concentrated in the north-west axis and in the southern region of the state. On the other hand, the highest rates of degree II of physical incapacity are concentrated in the north, northeast and south regions. Only the Index of Social and Economic Performance(IPESE)-Economy and Finance composed the final regression model of the general detection coefficients and in children under 15 years old. The municipalities with the highest indexes had the highest detection coefficients, reflecting the capacity to diagnose new cases. STUDY LIMITATIONS: The use of synthetic indicators is a limitation of the study. CONCLUSIONS: Leprosy presents a heterogeneous spatial pattern in the state of BAHIA, and the IPESE-Economics and Finance indicator is the only one with explanatory potential of the disease.
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spelling pubmed-64860862019-04-30 Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities de Souza, Carlos Dornels Freire Luna, Carlos Feitosa Magalhães, Mônica de Avelar Figueiredo Mafra An Bras Dermatol Investigation BACKGROUND: Leprosy is a neglected disease caused by Mycobacterium leprae. Brazil has the second largest number of cases in the world. OBJECTIVES: To analyze the spatial distribution of leprosy in the state of BAHIA, Brazil, and the association between his occurrence and the synthetic indicators of municipal socioeconomic performance, social vulnerability and income inequality. METHODS: An ecological study with secondary data obtained from the National System of Notifiable Diseases. Dependent variables: coefficient of detection in the general population and in the population under 15 years old and the rate of grade II of physical disability. Independent variables: Synthetic indicators of socioeconomic performance, social vulnerability and income inequality. RESULTS: The highest coefficients of detection of new cases in the general population and in children under 15 years old are concentrated in the north-west axis and in the southern region of the state. On the other hand, the highest rates of degree II of physical incapacity are concentrated in the north, northeast and south regions. Only the Index of Social and Economic Performance(IPESE)-Economy and Finance composed the final regression model of the general detection coefficients and in children under 15 years old. The municipalities with the highest indexes had the highest detection coefficients, reflecting the capacity to diagnose new cases. STUDY LIMITATIONS: The use of synthetic indicators is a limitation of the study. CONCLUSIONS: Leprosy presents a heterogeneous spatial pattern in the state of BAHIA, and the IPESE-Economics and Finance indicator is the only one with explanatory potential of the disease. Sociedade Brasileira de Dermatologia 2019 /pmc/articles/PMC6486086/ /pubmed/31090823 http://dx.doi.org/10.1590/abd1806-4841.20197554 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivative License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited and the work is not changed in any way.
spellingShingle Investigation
de Souza, Carlos Dornels Freire
Luna, Carlos Feitosa
Magalhães, Mônica de Avelar Figueiredo Mafra
Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_full Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_fullStr Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_full_unstemmed Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_short Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_sort spatial modeling of leprosy in the state of bahia and its social determinants: a study of health inequities
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486086/
https://www.ncbi.nlm.nih.gov/pubmed/31090823
http://dx.doi.org/10.1590/abd1806-4841.20197554
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