Space-Time analysis of Chikungunya fever incidence in Pernambuco state

Detalhes bibliográficos
Autor(a) principal: Freitas, Jucarlos Rufino de
Data de Publicação: 2020
Outros Autores: Nascimento, Gabriela Isabel Limoeiro Alves, Ferreira, Denise Stéphanie de Almeida, Santiago, Edgo Jackson Pinto, Moreira , Guilherme Rocha, Silva , Antonio Samuel Alves da, Cunha Filho, Moacyr
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/7114
Resumo: Objective: analyze the spatio-temporal distribution of Chikungunya fever incidence in Pernambuco state, Brazil. Method: the database was composed by Chikungunya fever epidemiological records in 2018, available through the Aggravation Notification Information System (SINAN) of Public Health Secretariat for Pernambuco State. The global and local Moran Index were used to assess Chikungunya spatial autocorrelation. Results: spatial distribution of Chikungunya fever clinical picture showed high concentration in state coast, with greater frequency and incidence rate in Cabo de Santo Agostinho and Escada municipalities. Clusters with positive spatial autocorrelation were formed between Cabo de Santo Agostinho and Vitoria de Santo Antão municipalities, revealing similar incidences. Conclusion: spatial analysis allowed to outline the epidemiological scenario for Chikungunya fever incidence, in 2018, consisting a tool capable of guiding strategic planning for epidemic control in Pernambuco.
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spelling Space-Time analysis of Chikungunya fever incidence in Pernambuco stateAnálisis espacio-temporal de la incidencia de fiebre Chikungunya en el estado de PernambucoAnálise espaço-temporal da incidência de febre Chikungunya no estado de PernambucoCHIKVEpidemiologyMoran Index GeoprocessingCHIKVEpidemiologíaÍndice de MoranGeoprocesamientoCHIKV, Epidemiologia, Índice de Moran, GeoprocessamentoObjective: analyze the spatio-temporal distribution of Chikungunya fever incidence in Pernambuco state, Brazil. Method: the database was composed by Chikungunya fever epidemiological records in 2018, available through the Aggravation Notification Information System (SINAN) of Public Health Secretariat for Pernambuco State. The global and local Moran Index were used to assess Chikungunya spatial autocorrelation. Results: spatial distribution of Chikungunya fever clinical picture showed high concentration in state coast, with greater frequency and incidence rate in Cabo de Santo Agostinho and Escada municipalities. Clusters with positive spatial autocorrelation were formed between Cabo de Santo Agostinho and Vitoria de Santo Antão municipalities, revealing similar incidences. Conclusion: spatial analysis allowed to outline the epidemiological scenario for Chikungunya fever incidence, in 2018, consisting a tool capable of guiding strategic planning for epidemic control in Pernambuco.Objetivo: analizar la distribución espacio-temporal de la incidencia de la fiebre Chikungunya en el estado de Pernambuco, Brasil. Método: la base de datos estaba compuesta por los registros epidemiológicos sobre la incidencia de la fiebre Chikungunya en 2018, disponibles a través del Sistema de Información para Enfermedades de Notificación (SINAN) de la Secretaría de Salud Pública del Estado de Pernambuco. Se utilizó el Índice de Moran global y local para evaluar la autocorrelación espacial de Chikungunya. Resultados: la distribución espacial de los cuadros clínicos de la fiebre Chikungunya demostrado una alta concentración en la costa del estado, con mayor frecuencia e índice de incidencia en los municipios de Cabo de Santo Agostinho y Escada. Hubo formação de clusters com autocorrelação espacial positiva entre os municípios de Cabo de Santo Agostinho y Vitória de Santo Antão, revelando incidencias similares. Conclusión: el análisis espacial permitió delinear el escenario epidemiológico para la incidencia de la fiebre Chikungunya, en 2018, constituyendo una herramienta capaz de guiar la planificación estratégica en el control de epidemias en Pernambuco.Objetivo: analisar a distribuição espaço-temporal da incidência de febre Chikungunya no estado de Pernambuco, Brasil. Método: a base de dados foi composta pelos registros epidemiológicos sobre incidência de febre Chikungunya em 2018, disponibilizado através do Sistema de Informação de Agravos de Notificação (SINAN) da Secretaria de Estado de Saúde Pública do Estado do Pernambuco. Utilizaram-se o Índice de Moran global e local para avaliar a autocorrelação espacial da Chikungunya. Resultados: a distribuição espacial dos quadros clínicos de febre Chikungunya demonstrou concentração elevada no litoral do estado, com maior frequência e taxa de incidência nos municípios do Cabo de Santo Agostinho e Escada. Houve formação de clusters com autocorrelação espacial positiva entre os municípios do Cabo de Santo Agostinho e Vitoria de Santo Antão, revelando incidências semelhantes. Conclusão: a análise espacial permitiu delinear o cenário epidemiológico para incidência de febre Chikungunya, em 2018, constituindo numa ferramenta capaz de nortear planejamentos estratégicos no controle epidêmico em Pernambuco.Research, Society and Development2020-08-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/711410.33448/rsd-v9i9.7114Research, Society and Development; Vol. 9 No. 9; e288997114Research, Society and Development; Vol. 9 Núm. 9; e288997114Research, Society and Development; v. 9 n. 9; e2889971142525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/7114/6439Copyright (c) 2020 Jucarlos Rufino de Freitas; Gabriela Isabel Limoeiro Alves Nascimento; Denise Stéphanie de Almeida Ferreira; Edgo Jackson Pinto Santiago; Guilherme Rocha Moreira ; Antonio Samuel Alves da Silva ; Moacyr Cunha Filhohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFreitas, Jucarlos Rufino deNascimento, Gabriela Isabel Limoeiro Alves Ferreira, Denise Stéphanie de Almeida Santiago, Edgo Jackson Pinto Moreira , Guilherme Rocha Silva , Antonio Samuel Alves daCunha Filho, Moacyr 2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/7114Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:29:57.257755Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Space-Time analysis of Chikungunya fever incidence in Pernambuco state
Análisis espacio-temporal de la incidencia de fiebre Chikungunya en el estado de Pernambuco
Análise espaço-temporal da incidência de febre Chikungunya no estado de Pernambuco
title Space-Time analysis of Chikungunya fever incidence in Pernambuco state
spellingShingle Space-Time analysis of Chikungunya fever incidence in Pernambuco state
Freitas, Jucarlos Rufino de
CHIKV
Epidemiology
Moran Index
Geoprocessing
CHIKV
Epidemiología
Índice de Moran
Geoprocesamiento
CHIKV, Epidemiologia, Índice de Moran, Geoprocessamento
title_short Space-Time analysis of Chikungunya fever incidence in Pernambuco state
title_full Space-Time analysis of Chikungunya fever incidence in Pernambuco state
title_fullStr Space-Time analysis of Chikungunya fever incidence in Pernambuco state
title_full_unstemmed Space-Time analysis of Chikungunya fever incidence in Pernambuco state
title_sort Space-Time analysis of Chikungunya fever incidence in Pernambuco state
author Freitas, Jucarlos Rufino de
author_facet Freitas, Jucarlos Rufino de
Nascimento, Gabriela Isabel Limoeiro Alves
Ferreira, Denise Stéphanie de Almeida
Santiago, Edgo Jackson Pinto
Moreira , Guilherme Rocha
Silva , Antonio Samuel Alves da
Cunha Filho, Moacyr
author_role author
author2 Nascimento, Gabriela Isabel Limoeiro Alves
Ferreira, Denise Stéphanie de Almeida
Santiago, Edgo Jackson Pinto
Moreira , Guilherme Rocha
Silva , Antonio Samuel Alves da
Cunha Filho, Moacyr
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Freitas, Jucarlos Rufino de
Nascimento, Gabriela Isabel Limoeiro Alves
Ferreira, Denise Stéphanie de Almeida
Santiago, Edgo Jackson Pinto
Moreira , Guilherme Rocha
Silva , Antonio Samuel Alves da
Cunha Filho, Moacyr
dc.subject.por.fl_str_mv CHIKV
Epidemiology
Moran Index
Geoprocessing
CHIKV
Epidemiología
Índice de Moran
Geoprocesamiento
CHIKV, Epidemiologia, Índice de Moran, Geoprocessamento
topic CHIKV
Epidemiology
Moran Index
Geoprocessing
CHIKV
Epidemiología
Índice de Moran
Geoprocesamiento
CHIKV, Epidemiologia, Índice de Moran, Geoprocessamento
description Objective: analyze the spatio-temporal distribution of Chikungunya fever incidence in Pernambuco state, Brazil. Method: the database was composed by Chikungunya fever epidemiological records in 2018, available through the Aggravation Notification Information System (SINAN) of Public Health Secretariat for Pernambuco State. The global and local Moran Index were used to assess Chikungunya spatial autocorrelation. Results: spatial distribution of Chikungunya fever clinical picture showed high concentration in state coast, with greater frequency and incidence rate in Cabo de Santo Agostinho and Escada municipalities. Clusters with positive spatial autocorrelation were formed between Cabo de Santo Agostinho and Vitoria de Santo Antão municipalities, revealing similar incidences. Conclusion: spatial analysis allowed to outline the epidemiological scenario for Chikungunya fever incidence, in 2018, consisting a tool capable of guiding strategic planning for epidemic control in Pernambuco.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-18
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/7114
10.33448/rsd-v9i9.7114
url https://rsdjournal.org/index.php/rsd/article/view/7114
identifier_str_mv 10.33448/rsd-v9i9.7114
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/7114/6439
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 9; e288997114
Research, Society and Development; Vol. 9 Núm. 9; e288997114
Research, Society and Development; v. 9 n. 9; e288997114
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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