SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019

Detalhes bibliográficos
Autor(a) principal: Lemos, Matheus Henrique da Silva
Data de Publicação: 2022
Outros Autores: Filho, Lauro Lourival Lopes, Costa, Maria Amélia de Oliveira, Júnior , Vicente de Paula Sousa, Silva, Walicy Cosse, Lemos, Taciany Alves Batista, Barbosa, Ocimar de Alencar Alves, Júnior, Teodoro Cardeal dos Santos, Neto, Antonio de Sousa Vale
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista UniVap (online)
Texto Completo: https://revista.univap.br/index.php/revistaunivap/article/view/4354
Resumo: The main objective of the study was to analyze the spatial distribution of notified and confirmed cases of yellow fever in the state of Piauí, from 2016 to 2019. This was an ecological spatial study of yellow fever, with data from the Notifiable Diseases Information System (SINAN) from 2016 to 2019. The X² association test was applied for bivariate analysis and the Moran Index for spatial analysis. During this period, 21 cases and 1 confirmed case were reported, this case being wild yellow fever and not in humans. The municipality of Teresina (33.3%) and the health region Entre Rios (42.9%) had the highest records. Males (61.9%), the age group between 20 and 34 years (38.1%) and brown ethnicity (61.9%) were the most affected. As for education, 42.9% were ignored. The notifications of yellow fever cases, in the state of Piauí, are concentrated in poles with a large population flow. Although there is no confirmation of yellow fever cases in humans, vector prevention and control strategies must be implemented considering these factors, in addition to professional training for the correct notification of cases.
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spelling SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019DISTRIBUIÇÃO ESPACIAL DOS CASOS DE FEBRE AMARELA NO ESTADO DO PIAUÍ, 2016-2019Yellow feverArbovirus InfectionsSpatial AnalysisHealth ProfileSpatial distributionEpidemiologyHealth SurveillanceFebre amarelaInfecções por arbovírusAnalise espacialPerfil epidemiológico.Distribuição espacialEpidemiologiaVigilância em SaúdeThe main objective of the study was to analyze the spatial distribution of notified and confirmed cases of yellow fever in the state of Piauí, from 2016 to 2019. This was an ecological spatial study of yellow fever, with data from the Notifiable Diseases Information System (SINAN) from 2016 to 2019. The X² association test was applied for bivariate analysis and the Moran Index for spatial analysis. During this period, 21 cases and 1 confirmed case were reported, this case being wild yellow fever and not in humans. The municipality of Teresina (33.3%) and the health region Entre Rios (42.9%) had the highest records. Males (61.9%), the age group between 20 and 34 years (38.1%) and brown ethnicity (61.9%) were the most affected. As for education, 42.9% were ignored. The notifications of yellow fever cases, in the state of Piauí, are concentrated in poles with a large population flow. Although there is no confirmation of yellow fever cases in humans, vector prevention and control strategies must be implemented considering these factors, in addition to professional training for the correct notification of cases.O principal objetivo do estudo foi analisar a distribuição espacial dos casos notificados e confirmados de febre amarela no estado do Piauí no período de 2016 a 2019. Tratou-se de um estudo ecológico espacial da febre amarela, com dados do Sistema de Informação de Agravos de Notificação (SINAN) de 2016 a 2019. Foi aplicado o teste de associação X² para a análise bivariada e o Índice de Moran para análise espacial. Nesse período, foram notificados 21 casos e 1 caso confirmado, sendo esse caso de febre amarela silvestre e não em humanos.  O município de Teresina (33,3%) e a região de saúde, Entre Rios (42,9%), apresentaram os maiores registros. O sexo masculino (61,9%), a faixa entre 20 e 34 anos (38,1%) e a etnia parda (61,9%) foram os mais afetados. Quanto à escolaridade, 42,9% foram ignorados. As notificações de casos de febre amarela, no estado do Piauí, estão concentradas em polos com grande fluxo populacional. Apesar de não existir confirmação de casos de febre amarela em humanos, as estratégias de prevenção e controle do vetor devem ser implementadas, considerando esses fatores, além de capacitação profissional para a correta notificação dos casos.IBICT2022-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoapplication/pdfhttps://revista.univap.br/index.php/revistaunivap/article/view/435410.18066/revistaunivap.v28i59.4354Revista Univap; Vol. 28 No. 59 (2022): Revista Univap onlineRevista Univap; v. 28 n. 59 (2022): Revista Univap online2237-17531517-327510.18066/revistaunivap.v28i59reponame:Revista UniVap (online)instname:Universidade do Vale do Paraíba (Univap)instacron:UNIVAPporhttps://revista.univap.br/index.php/revistaunivap/article/view/4354/2196Brazil, North East, PiauíBrasil, Nordeste, PiauíCopyright (c) 2022 Revista Univaphttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLemos, Matheus Henrique da SilvaFilho, Lauro Lourival Lopes Costa, Maria Amélia de Oliveira Júnior , Vicente de Paula Sousa Silva, Walicy Cosse Lemos, Taciany Alves Batista Barbosa, Ocimar de Alencar Alves Júnior, Teodoro Cardeal dos Santos Neto, Antonio de Sousa Vale2022-12-08T13:47:25Zoai:ojs.biblioteca.univap.br:article/4354Revistahttps://revista.univap.br/index.php/revistaunivapPRIhttps://revista.univap.br/index.php/revistaunivap/oairevista@univap.br2237-17532237-1753opendoar:2022-12-08T13:47:25Revista UniVap (online) - Universidade do Vale do Paraíba (Univap)false
dc.title.none.fl_str_mv SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
DISTRIBUIÇÃO ESPACIAL DOS CASOS DE FEBRE AMARELA NO ESTADO DO PIAUÍ, 2016-2019
title SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
spellingShingle SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
Lemos, Matheus Henrique da Silva
Yellow fever
Arbovirus Infections
Spatial Analysis
Health Profile
Spatial distribution
Epidemiology
Health Surveillance
Febre amarela
Infecções por arbovírus
Analise espacial
Perfil epidemiológico.
Distribuição espacial
Epidemiologia
Vigilância em Saúde
title_short SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
title_full SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
title_fullStr SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
title_full_unstemmed SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
title_sort SPATIAL DISTRIBUTION OF YELLOW FEVER CASES IN THE STATE OF PIAUÍ, 2016-2019
author Lemos, Matheus Henrique da Silva
author_facet Lemos, Matheus Henrique da Silva
Filho, Lauro Lourival Lopes
Costa, Maria Amélia de Oliveira
Júnior , Vicente de Paula Sousa
Silva, Walicy Cosse
Lemos, Taciany Alves Batista
Barbosa, Ocimar de Alencar Alves
Júnior, Teodoro Cardeal dos Santos
Neto, Antonio de Sousa Vale
author_role author
author2 Filho, Lauro Lourival Lopes
Costa, Maria Amélia de Oliveira
Júnior , Vicente de Paula Sousa
Silva, Walicy Cosse
Lemos, Taciany Alves Batista
Barbosa, Ocimar de Alencar Alves
Júnior, Teodoro Cardeal dos Santos
Neto, Antonio de Sousa Vale
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lemos, Matheus Henrique da Silva
Filho, Lauro Lourival Lopes
Costa, Maria Amélia de Oliveira
Júnior , Vicente de Paula Sousa
Silva, Walicy Cosse
Lemos, Taciany Alves Batista
Barbosa, Ocimar de Alencar Alves
Júnior, Teodoro Cardeal dos Santos
Neto, Antonio de Sousa Vale
dc.subject.por.fl_str_mv Yellow fever
Arbovirus Infections
Spatial Analysis
Health Profile
Spatial distribution
Epidemiology
Health Surveillance
Febre amarela
Infecções por arbovírus
Analise espacial
Perfil epidemiológico.
Distribuição espacial
Epidemiologia
Vigilância em Saúde
topic Yellow fever
Arbovirus Infections
Spatial Analysis
Health Profile
Spatial distribution
Epidemiology
Health Surveillance
Febre amarela
Infecções por arbovírus
Analise espacial
Perfil epidemiológico.
Distribuição espacial
Epidemiologia
Vigilância em Saúde
description The main objective of the study was to analyze the spatial distribution of notified and confirmed cases of yellow fever in the state of Piauí, from 2016 to 2019. This was an ecological spatial study of yellow fever, with data from the Notifiable Diseases Information System (SINAN) from 2016 to 2019. The X² association test was applied for bivariate analysis and the Moran Index for spatial analysis. During this period, 21 cases and 1 confirmed case were reported, this case being wild yellow fever and not in humans. The municipality of Teresina (33.3%) and the health region Entre Rios (42.9%) had the highest records. Males (61.9%), the age group between 20 and 34 years (38.1%) and brown ethnicity (61.9%) were the most affected. As for education, 42.9% were ignored. The notifications of yellow fever cases, in the state of Piauí, are concentrated in poles with a large population flow. Although there is no confirmation of yellow fever cases in humans, vector prevention and control strategies must be implemented considering these factors, in addition to professional training for the correct notification of cases.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Texto
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revista.univap.br/index.php/revistaunivap/article/view/4354
10.18066/revistaunivap.v28i59.4354
url https://revista.univap.br/index.php/revistaunivap/article/view/4354
identifier_str_mv 10.18066/revistaunivap.v28i59.4354
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.univap.br/index.php/revistaunivap/article/view/4354/2196
dc.rights.driver.fl_str_mv Copyright (c) 2022 Revista Univap
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Revista Univap
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil, North East, Piauí
Brasil, Nordeste, Piauí
dc.publisher.none.fl_str_mv IBICT
publisher.none.fl_str_mv IBICT
dc.source.none.fl_str_mv Revista Univap; Vol. 28 No. 59 (2022): Revista Univap online
Revista Univap; v. 28 n. 59 (2022): Revista Univap online
2237-1753
1517-3275
10.18066/revistaunivap.v28i59
reponame:Revista UniVap (online)
instname:Universidade do Vale do Paraíba (Univap)
instacron:UNIVAP
instname_str Universidade do Vale do Paraíba (Univap)
instacron_str UNIVAP
institution UNIVAP
reponame_str Revista UniVap (online)
collection Revista UniVap (online)
repository.name.fl_str_mv Revista UniVap (online) - Universidade do Vale do Paraíba (Univap)
repository.mail.fl_str_mv revista@univap.br
_version_ 1797042291670515712

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