Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil

Detalhes bibliográficos
Autor(a) principal: Cerveira,Rodrigo Arcoverde
Data de Publicação: 2020
Outros Autores: Ferreira,Luan Oliveira, Oliveira,Edwiges de Fátima de, Felipe,Hanna Katharine dos Santos, Almeida,Marcelli Carolini Alves, Lima,Sandra Souza, Ribeiro,Karla Tereza Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2020000100438
Resumo: ABSTRACT: Introduction: Brazil has registered more than 62,000 confirmed cases of leptospirosis between 2001 and 2017, with more than 2,000 cases confirmed in the State of Pará. Despite a large number of cases, no study has been conducted to trace the spatio-temporal profile of the disease. Methodology: Confirmed cases of leptospirosis from 2001 to 2017 from the state of Pará were the basis for this space-time study. The database of the Department of Informatics of the Ministry of Health was used to access data on leptospirosis. The spatio-temporal analysis was performed in the SaTScan software for the detection of clusters, and maps were generated in the QGIS software. Results: The municipalities of Belém and Santarém were among the ones with the highest incidence rates of leptospirosis for the whole study period. Increased number of cases in Soure, Inhangapi, São João da Ponta and Magalhães Barata, Ponta de Pedras, Breves, Bragança, Castanhal, and São Domingos do Capim were identified in different time periods. Santarém and Belém are the main foci of leptospirosis because they are the most urbanized and densely populated municipalities in the State. The cases found in smaller municipalities may be associated with periods of more frequent rainfall and circulation of Leptospira sp. in marsupials and cattle, in the northeastern part of the State. Conclusion: Further studies are needed to help identify the risk factors that contribute to the occurrence of leptospirosis in the State of Pará, particularly in areas with lower population density.
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spelling Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, BrazilLeptospirosisSpatial AnalysisSpatio-Temporal AnalysisBrazilABSTRACT: Introduction: Brazil has registered more than 62,000 confirmed cases of leptospirosis between 2001 and 2017, with more than 2,000 cases confirmed in the State of Pará. Despite a large number of cases, no study has been conducted to trace the spatio-temporal profile of the disease. Methodology: Confirmed cases of leptospirosis from 2001 to 2017 from the state of Pará were the basis for this space-time study. The database of the Department of Informatics of the Ministry of Health was used to access data on leptospirosis. The spatio-temporal analysis was performed in the SaTScan software for the detection of clusters, and maps were generated in the QGIS software. Results: The municipalities of Belém and Santarém were among the ones with the highest incidence rates of leptospirosis for the whole study period. Increased number of cases in Soure, Inhangapi, São João da Ponta and Magalhães Barata, Ponta de Pedras, Breves, Bragança, Castanhal, and São Domingos do Capim were identified in different time periods. Santarém and Belém are the main foci of leptospirosis because they are the most urbanized and densely populated municipalities in the State. The cases found in smaller municipalities may be associated with periods of more frequent rainfall and circulation of Leptospira sp. in marsupials and cattle, in the northeastern part of the State. Conclusion: Further studies are needed to help identify the risk factors that contribute to the occurrence of leptospirosis in the State of Pará, particularly in areas with lower population density.Associação Brasileira de Saúde Coletiva2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2020000100438Revista Brasileira de Epidemiologia v.23 2020reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720200041info:eu-repo/semantics/openAccessCerveira,Rodrigo ArcoverdeFerreira,Luan OliveiraOliveira,Edwiges de Fátima deFelipe,Hanna Katharine dos SantosAlmeida,Marcelli Carolini AlvesLima,Sandra SouzaRibeiro,Karla Tereza Silvaeng2020-05-27T00:00:00Zoai:scielo:S1415-790X2020000100438Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2020-05-27T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
title Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
spellingShingle Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
Cerveira,Rodrigo Arcoverde
Leptospirosis
Spatial Analysis
Spatio-Temporal Analysis
Brazil
title_short Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
title_full Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
title_fullStr Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
title_full_unstemmed Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
title_sort Spatio-temporal analysis of leptospirosis in Eastern Amazon, State of Pará, Brazil
author Cerveira,Rodrigo Arcoverde
author_facet Cerveira,Rodrigo Arcoverde
Ferreira,Luan Oliveira
Oliveira,Edwiges de Fátima de
Felipe,Hanna Katharine dos Santos
Almeida,Marcelli Carolini Alves
Lima,Sandra Souza
Ribeiro,Karla Tereza Silva
author_role author
author2 Ferreira,Luan Oliveira
Oliveira,Edwiges de Fátima de
Felipe,Hanna Katharine dos Santos
Almeida,Marcelli Carolini Alves
Lima,Sandra Souza
Ribeiro,Karla Tereza Silva
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Cerveira,Rodrigo Arcoverde
Ferreira,Luan Oliveira
Oliveira,Edwiges de Fátima de
Felipe,Hanna Katharine dos Santos
Almeida,Marcelli Carolini Alves
Lima,Sandra Souza
Ribeiro,Karla Tereza Silva
dc.subject.por.fl_str_mv Leptospirosis
Spatial Analysis
Spatio-Temporal Analysis
Brazil
topic Leptospirosis
Spatial Analysis
Spatio-Temporal Analysis
Brazil
description ABSTRACT: Introduction: Brazil has registered more than 62,000 confirmed cases of leptospirosis between 2001 and 2017, with more than 2,000 cases confirmed in the State of Pará. Despite a large number of cases, no study has been conducted to trace the spatio-temporal profile of the disease. Methodology: Confirmed cases of leptospirosis from 2001 to 2017 from the state of Pará were the basis for this space-time study. The database of the Department of Informatics of the Ministry of Health was used to access data on leptospirosis. The spatio-temporal analysis was performed in the SaTScan software for the detection of clusters, and maps were generated in the QGIS software. Results: The municipalities of Belém and Santarém were among the ones with the highest incidence rates of leptospirosis for the whole study period. Increased number of cases in Soure, Inhangapi, São João da Ponta and Magalhães Barata, Ponta de Pedras, Breves, Bragança, Castanhal, and São Domingos do Capim were identified in different time periods. Santarém and Belém are the main foci of leptospirosis because they are the most urbanized and densely populated municipalities in the State. The cases found in smaller municipalities may be associated with periods of more frequent rainfall and circulation of Leptospira sp. in marsupials and cattle, in the northeastern part of the State. Conclusion: Further studies are needed to help identify the risk factors that contribute to the occurrence of leptospirosis in the State of Pará, particularly in areas with lower population density.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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dc.publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.23 2020
reponame:Revista brasileira de epidemiologia (Online)
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