Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
Abstract 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 ind...
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Dermatologia
2019-05-01
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| Series: | Anais Brasileiros de Dermatologia |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0365-05962019000200182&tlng=en |
| _version_ | 1818951463612710912 |
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| author | Carlos Dornels Freire de Souza Carlos Feitosa Luna Mônica de Avelar Figueiredo Mafra Magalhães |
| author_facet | Carlos Dornels Freire de Souza Carlos Feitosa Luna Mônica de Avelar Figueiredo Mafra Magalhães |
| author_sort | Carlos Dornels Freire de Souza |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-20T09:34:53Z |
| format | Article |
| id | doaj.art-482ab05fad564fa49e95e4409b187214 |
| institution | Directory Open Access Journal |
| issn | 0365-0596 |
| language | English |
| last_indexed | 2024-12-20T09:34:53Z |
| publishDate | 2019-05-01 |
| publisher | Sociedade Brasileira de Dermatologia |
| record_format | Article |
| series | Anais Brasileiros de Dermatologia |
| spelling | doaj.art-482ab05fad564fa49e95e4409b1872142022-12-21T19:45:02ZengSociedade Brasileira de DermatologiaAnais Brasileiros de Dermatologia0365-05962019-05-0194218219110.1590/abd1806-4841.20197554Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequitiesCarlos Dornels Freire de Souzahttps://orcid.org/0000-0003-0837-8254Carlos Feitosa Lunahttps://orcid.org/0000-0001-9277-4086Mônica de Avelar Figueiredo Mafra Magalhãeshttps://orcid.org/0000-0002-6595-8274Abstract 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0365-05962019000200182&tlng=enEpidemiologyLeprosyMycobacterium lepraePublic health |
| spellingShingle | Carlos Dornels Freire de Souza Carlos Feitosa Luna Mônica de Avelar Figueiredo Mafra Magalhães Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities Anais Brasileiros de Dermatologia Epidemiology Leprosy Mycobacterium leprae Public health |
| 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 | Epidemiology Leprosy Mycobacterium leprae Public health |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0365-05962019000200182&tlng=en |
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