Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality
Abstract: This study aimed to identify the distribution pattern of leprosy in a hyperendemic municipality in Brazil and determine its relationship with the clinico-epidemiological situation over 11 years. The geographic information system, MapInfo, spatial scan statistics and the Moran I index were...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
2018-08-01
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| Series: | Cadernos de Saúde Pública |
| Subjects: | |
| Online Access: | http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2018000805004&lng=en&tlng=en |
| _version_ | 1819237596453142528 |
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| author | Lucia Helena Soares Camargo Marciano Andréa de Faria Fernandes Belone Patrícia Sammarco Rosa Neusa Maria Broch Coelho Cássio César Ghidella Susilene Maria Tonelli Nardi William Cabral Miranda Ligia Vizeu Barrozo Joel Carlos Lastória |
| author_facet | Lucia Helena Soares Camargo Marciano Andréa de Faria Fernandes Belone Patrícia Sammarco Rosa Neusa Maria Broch Coelho Cássio César Ghidella Susilene Maria Tonelli Nardi William Cabral Miranda Ligia Vizeu Barrozo Joel Carlos Lastória |
| author_sort | Lucia Helena Soares Camargo Marciano |
| collection | DOAJ |
| description | Abstract: This study aimed to identify the distribution pattern of leprosy in a hyperendemic municipality in Brazil and determine its relationship with the clinico-epidemiological situation over 11 years. The geographic information system, MapInfo, spatial scan statistics and the Moran I index were used to analyze new cases. The digital cartographic base was used to map clusters of new paucibacillary and multibacillary cases and cases in minors under 15 years old. Socioeconomic indicators are shown using the choropleth mapping technique. A reduction in the detection coefficient, increases in high-risk spatial clusters, marked changes in the distribution of high-risk and low-risk clusters, and high-risk clusters of minors under 15 years old were observed from 2006 to 2010, showing recent illness, the presence of active foci, and overlapping of high-risk clusters of multibacillary infection in minors under 15 years old. Leprosy remains a public health problem in Rondonópolis, Mato Grosso State; the high-risk areas require an intensification of control measures and active search strategies to detect new cases. |
| first_indexed | 2024-12-23T13:22:51Z |
| format | Article |
| id | doaj.art-82bc8852daed48b281acc1dc2c4f0f5e |
| institution | Directory Open Access Journal |
| issn | 1678-4464 |
| language | English |
| last_indexed | 2024-12-23T13:22:51Z |
| publishDate | 2018-08-01 |
| publisher | Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz |
| record_format | Article |
| series | Cadernos de Saúde Pública |
| spelling | doaj.art-82bc8852daed48b281acc1dc2c4f0f5e2022-12-21T17:45:24ZengEscola Nacional de Saúde Pública, Fundação Oswaldo CruzCadernos de Saúde Pública1678-44642018-08-0134810.1590/0102-311x00197216S0102-311X2018000805004Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipalityLucia Helena Soares Camargo MarcianoAndréa de Faria Fernandes BelonePatrícia Sammarco RosaNeusa Maria Broch CoelhoCássio César GhidellaSusilene Maria Tonelli NardiWilliam Cabral MirandaLigia Vizeu BarrozoJoel Carlos LastóriaAbstract: This study aimed to identify the distribution pattern of leprosy in a hyperendemic municipality in Brazil and determine its relationship with the clinico-epidemiological situation over 11 years. The geographic information system, MapInfo, spatial scan statistics and the Moran I index were used to analyze new cases. The digital cartographic base was used to map clusters of new paucibacillary and multibacillary cases and cases in minors under 15 years old. Socioeconomic indicators are shown using the choropleth mapping technique. A reduction in the detection coefficient, increases in high-risk spatial clusters, marked changes in the distribution of high-risk and low-risk clusters, and high-risk clusters of minors under 15 years old were observed from 2006 to 2010, showing recent illness, the presence of active foci, and overlapping of high-risk clusters of multibacillary infection in minors under 15 years old. Leprosy remains a public health problem in Rondonópolis, Mato Grosso State; the high-risk areas require an intensification of control measures and active search strategies to detect new cases.http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2018000805004&lng=en&tlng=enSpatial AnalysisGeographic Information SystemsEpidemiologic Factors |
| spellingShingle | Lucia Helena Soares Camargo Marciano Andréa de Faria Fernandes Belone Patrícia Sammarco Rosa Neusa Maria Broch Coelho Cássio César Ghidella Susilene Maria Tonelli Nardi William Cabral Miranda Ligia Vizeu Barrozo Joel Carlos Lastória Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality Cadernos de Saúde Pública Spatial Analysis Geographic Information Systems Epidemiologic Factors |
| title | Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality |
| title_full | Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality |
| title_fullStr | Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality |
| title_full_unstemmed | Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality |
| title_short | Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality |
| title_sort | epidemiological and geographical characterization of leprosy in a brazilian hyperendemic municipality |
| topic | Spatial Analysis Geographic Information Systems Epidemiologic Factors |
| url | http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2018000805004&lng=en&tlng=en |
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