Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1017/S0031182020001754 http://hdl.handle.net/11449/221622 |
Resumo: | Human visceral leishmaniasis (HVL) cases are important public health problems due to their zoonotic aspect, with high rates of morbidity and mortality in Brazil. The aim of this this study was to identify spatial patterns in both rates of HVL cases in Brazilian states during the period from 2006 to 2015. This is an ecological study, using geoprocessing tools to create choropleth maps, based on secondary data from open access platforms, to identify priority areas for control actions of the disease. Data were collected in 2017 and analysed according to the global and local Moran's I, using TerraView 4.2.2 software. Similar clusters were observed in neighbouring municipalities in thematic maps of HVL, suggesting spatial similarity in the distribution of the disease in humans mainly in the North and Northeast Regions, which concentrate the states with the highest rates of HVL. Heterogeneous spatial patterns were observed in the distribution of HVL, which show municipalities that need higher priority in the intensification of disease surveillance and control strategies. |
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Epidemiological aspects and spatial patterns of human visceral leishmaniasis in BrazilBrazilhuman visceral leishmaniasisleishmaniasisspatial analysisHuman visceral leishmaniasis (HVL) cases are important public health problems due to their zoonotic aspect, with high rates of morbidity and mortality in Brazil. The aim of this this study was to identify spatial patterns in both rates of HVL cases in Brazilian states during the period from 2006 to 2015. This is an ecological study, using geoprocessing tools to create choropleth maps, based on secondary data from open access platforms, to identify priority areas for control actions of the disease. Data were collected in 2017 and analysed according to the global and local Moran's I, using TerraView 4.2.2 software. Similar clusters were observed in neighbouring municipalities in thematic maps of HVL, suggesting spatial similarity in the distribution of the disease in humans mainly in the North and Northeast Regions, which concentrate the states with the highest rates of HVL. Heterogeneous spatial patterns were observed in the distribution of HVL, which show municipalities that need higher priority in the intensification of disease surveillance and control strategies.Graduate Program in Health Sciences Universidade Federal do Maranhão, Avenue of Portuguese 1966Department of Nursing Universidade Federal do Maranhão, Avenue da Universidade, Dom Afonso Felipe Gregory, 65.915-240Department of Parasitology Institute of Biological Sciences Universidade Federal de Minas Gerais, Avenue Presidente Antônio Carlos 6627Postgraduate Program on Mechanical Engineering Department of Energy Universidade Estadual de São Paulo, Avenue Ariberto Pereira da Cunha, 333Department of Nursing Universidade Estadual do Tocantins, Pedro Ludovico, 535Master Course in Health and Technology (PPGST-UFMA) Avenue da Universidade, Dom Afonso Felipe Gregory, 65.915-240Instituto de Ensino Superior do Maranhão - IESMA/UNISULMA, São Pedro 11Department of Pathology Universidade Estadual do Maranhão Cidade Universitária, Cross Paulo VIDepartment of Environmental Sciences Universidade de Taubaté, Dr. José Luiz Cembranelli, 5000Postgraduate Program on Mechanical Engineering Department of Energy Universidade Estadual de São Paulo, Avenue Ariberto Pereira da Cunha, 333Universidade Federal do MaranhãoUniversidade Federal de Minas Gerais (UFMG)Universidade Estadual Paulista (UNESP)Universidade Estadual do TocantinsAvenue da UniversidadeInstituto de Ensino Superior do Maranhão - IESMA/UNISULMACidade UniversitáriaUniversidade de TaubatéGraepp-Fontoura, IolandaSoeiro Barbosa, DavidNascimento, Luiz Fernando Costa [UNESP]Fontoura, Volmar MoraisFerreira, Adriana Gomes NogueiraArrais Sampaio Santos, Francisca AlineSousa, Benedito SalazarSantos, Floriacy StabnowSantos-Neto, MarcelinoDos Santos, Leonardo HunaldoAbreu-Silva, Ana Lúcia2022-04-28T19:29:48Z2022-04-28T19:29:48Z2020-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1665-1677http://dx.doi.org/10.1017/S0031182020001754Parasitology, v. 147, n. 14, p. 1665-1677, 2020.1469-81610031-1820http://hdl.handle.net/11449/22162210.1017/S00311820200017542-s2.0-85097003213Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengParasitologyinfo:eu-repo/semantics/openAccess2022-04-28T19:29:48Zoai:repositorio.unesp.br:11449/221622Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:59:17.377141Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil |
title |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil |
spellingShingle |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil Graepp-Fontoura, Iolanda Brazil human visceral leishmaniasis leishmaniasis spatial analysis |
title_short |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil |
title_full |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil |
title_fullStr |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil |
title_full_unstemmed |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil |
title_sort |
Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil |
author |
Graepp-Fontoura, Iolanda |
author_facet |
Graepp-Fontoura, Iolanda Soeiro Barbosa, David Nascimento, Luiz Fernando Costa [UNESP] Fontoura, Volmar Morais Ferreira, Adriana Gomes Nogueira Arrais Sampaio Santos, Francisca Aline Sousa, Benedito Salazar Santos, Floriacy Stabnow Santos-Neto, Marcelino Dos Santos, Leonardo Hunaldo Abreu-Silva, Ana Lúcia |
author_role |
author |
author2 |
Soeiro Barbosa, David Nascimento, Luiz Fernando Costa [UNESP] Fontoura, Volmar Morais Ferreira, Adriana Gomes Nogueira Arrais Sampaio Santos, Francisca Aline Sousa, Benedito Salazar Santos, Floriacy Stabnow Santos-Neto, Marcelino Dos Santos, Leonardo Hunaldo Abreu-Silva, Ana Lúcia |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal do Maranhão Universidade Federal de Minas Gerais (UFMG) Universidade Estadual Paulista (UNESP) Universidade Estadual do Tocantins Avenue da Universidade Instituto de Ensino Superior do Maranhão - IESMA/UNISULMA Cidade Universitária Universidade de Taubaté |
dc.contributor.author.fl_str_mv |
Graepp-Fontoura, Iolanda Soeiro Barbosa, David Nascimento, Luiz Fernando Costa [UNESP] Fontoura, Volmar Morais Ferreira, Adriana Gomes Nogueira Arrais Sampaio Santos, Francisca Aline Sousa, Benedito Salazar Santos, Floriacy Stabnow Santos-Neto, Marcelino Dos Santos, Leonardo Hunaldo Abreu-Silva, Ana Lúcia |
dc.subject.por.fl_str_mv |
Brazil human visceral leishmaniasis leishmaniasis spatial analysis |
topic |
Brazil human visceral leishmaniasis leishmaniasis spatial analysis |
description |
Human visceral leishmaniasis (HVL) cases are important public health problems due to their zoonotic aspect, with high rates of morbidity and mortality in Brazil. The aim of this this study was to identify spatial patterns in both rates of HVL cases in Brazilian states during the period from 2006 to 2015. This is an ecological study, using geoprocessing tools to create choropleth maps, based on secondary data from open access platforms, to identify priority areas for control actions of the disease. Data were collected in 2017 and analysed according to the global and local Moran's I, using TerraView 4.2.2 software. Similar clusters were observed in neighbouring municipalities in thematic maps of HVL, suggesting spatial similarity in the distribution of the disease in humans mainly in the North and Northeast Regions, which concentrate the states with the highest rates of HVL. Heterogeneous spatial patterns were observed in the distribution of HVL, which show municipalities that need higher priority in the intensification of disease surveillance and control strategies. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-01 2022-04-28T19:29:48Z 2022-04-28T19:29:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1017/S0031182020001754 Parasitology, v. 147, n. 14, p. 1665-1677, 2020. 1469-8161 0031-1820 http://hdl.handle.net/11449/221622 10.1017/S0031182020001754 2-s2.0-85097003213 |
url |
http://dx.doi.org/10.1017/S0031182020001754 http://hdl.handle.net/11449/221622 |
identifier_str_mv |
Parasitology, v. 147, n. 14, p. 1665-1677, 2020. 1469-8161 0031-1820 10.1017/S0031182020001754 2-s2.0-85097003213 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Parasitology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1665-1677 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129479015399424 |