Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study

Detalhes bibliográficos
Autor(a) principal: Leandro,Gustavo Cezar Wagner
Data de Publicação: 2022
Outros Autores: Cicchelero,Laiz Mangini, Procopiuk,Marcia, Correa,Fernanda de Oliveira Biaggio, Santos,Pamela Cristina Fragata dos, Lopes,Adriana Rezende, Nihei,Oscar Kenji
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=S1415-790X2022000100436
Resumo: ABSTRACT Objective: Analyze the temporal trend and spatial distribution of the incidence rate of dengue cases in Paraná and its regions between 2012 to 2021 and investigate associated sociodemographic and environmental variables. Methods: Ecological study with temporal and spatial analysis of the dengue incidence rate reported in the Disease and Notification Information System (SINAN) in the period 2012 to 2021 and investigation of sociodemographic and environmental variables. To identify differences between municipal incidence rates the Mann-Whitney and Kruskal-Wallis test followed by Dunn’s test for multiple comparisons were used. Prais-Winsten regression was used for temporal trend analysis and for spatial analysis the univariate and bivariate Local Moran analysis were applied. Results: 548,683 cases of dengue were confirmed in the period, the highest state incidence rate was observed in 2020, with 15 health regions presenting more than 500 cases/100,000 inhabitants. Higher incidences were observed among women, age group of 20-59 years and white color/race. Despite annual variations, a stationary trend was observed for incidence rates according to sex, age group, color/race and macro-region. More than half of the municipalities in Paraná formed spatial clusters (Moran’s I=0.679), where 73 (18.3%) municipalities with high incidence rate formed clusters. High-High clusters of dengue incidence rate with urbanization and High-Low clusters of incidence rate with vegetation cover were observed. Conclusion: Sociodemographic and environmental determinants were related to the high incidence rates of dengue and heterogeneous spatial distribution in the state of Paraná, indicating the need to strengthen health surveillance actions.
id ABRASCO-1_f5485bbe421b1605c3037620d9ac7258
oai_identifier_str oai:scielo:S1415-790X2022000100436
network_acronym_str ABRASCO-1
network_name_str Revista brasileira de epidemiologia (Online)
repository_id_str
spelling Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological studyDengueIncidenceEpidemiological monitoringPublic healthTime series studiesSpatial analysisABSTRACT Objective: Analyze the temporal trend and spatial distribution of the incidence rate of dengue cases in Paraná and its regions between 2012 to 2021 and investigate associated sociodemographic and environmental variables. Methods: Ecological study with temporal and spatial analysis of the dengue incidence rate reported in the Disease and Notification Information System (SINAN) in the period 2012 to 2021 and investigation of sociodemographic and environmental variables. To identify differences between municipal incidence rates the Mann-Whitney and Kruskal-Wallis test followed by Dunn’s test for multiple comparisons were used. Prais-Winsten regression was used for temporal trend analysis and for spatial analysis the univariate and bivariate Local Moran analysis were applied. Results: 548,683 cases of dengue were confirmed in the period, the highest state incidence rate was observed in 2020, with 15 health regions presenting more than 500 cases/100,000 inhabitants. Higher incidences were observed among women, age group of 20-59 years and white color/race. Despite annual variations, a stationary trend was observed for incidence rates according to sex, age group, color/race and macro-region. More than half of the municipalities in Paraná formed spatial clusters (Moran’s I=0.679), where 73 (18.3%) municipalities with high incidence rate formed clusters. High-High clusters of dengue incidence rate with urbanization and High-Low clusters of incidence rate with vegetation cover were observed. Conclusion: Sociodemographic and environmental determinants were related to the high incidence rates of dengue and heterogeneous spatial distribution in the state of Paraná, indicating the need to strengthen health surveillance actions.Associação Brasileira de Saúde Coletiva2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100436Revista Brasileira de Epidemiologia v.25 2022reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720220039info:eu-repo/semantics/openAccessLeandro,Gustavo Cezar WagnerCicchelero,Laiz ManginiProcopiuk,MarciaCorrea,Fernanda de Oliveira BiaggioSantos,Pamela Cristina Fragata dosLopes,Adriana RezendeNihei,Oscar Kenjieng2022-12-08T00:00:00Zoai:scielo:S1415-790X2022000100436Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2022-12-08T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
title Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
spellingShingle Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
Leandro,Gustavo Cezar Wagner
Dengue
Incidence
Epidemiological monitoring
Public health
Time series studies
Spatial analysis
title_short Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
title_full Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
title_fullStr Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
title_full_unstemmed Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
title_sort Temporal and spatial analysis of municipal dengue cases in Paraná and social and environmental indicators, 2012 to 2021: ecological study
author Leandro,Gustavo Cezar Wagner
author_facet Leandro,Gustavo Cezar Wagner
Cicchelero,Laiz Mangini
Procopiuk,Marcia
Correa,Fernanda de Oliveira Biaggio
Santos,Pamela Cristina Fragata dos
Lopes,Adriana Rezende
Nihei,Oscar Kenji
author_role author
author2 Cicchelero,Laiz Mangini
Procopiuk,Marcia
Correa,Fernanda de Oliveira Biaggio
Santos,Pamela Cristina Fragata dos
Lopes,Adriana Rezende
Nihei,Oscar Kenji
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Leandro,Gustavo Cezar Wagner
Cicchelero,Laiz Mangini
Procopiuk,Marcia
Correa,Fernanda de Oliveira Biaggio
Santos,Pamela Cristina Fragata dos
Lopes,Adriana Rezende
Nihei,Oscar Kenji
dc.subject.por.fl_str_mv Dengue
Incidence
Epidemiological monitoring
Public health
Time series studies
Spatial analysis
topic Dengue
Incidence
Epidemiological monitoring
Public health
Time series studies
Spatial analysis
description ABSTRACT Objective: Analyze the temporal trend and spatial distribution of the incidence rate of dengue cases in Paraná and its regions between 2012 to 2021 and investigate associated sociodemographic and environmental variables. Methods: Ecological study with temporal and spatial analysis of the dengue incidence rate reported in the Disease and Notification Information System (SINAN) in the period 2012 to 2021 and investigation of sociodemographic and environmental variables. To identify differences between municipal incidence rates the Mann-Whitney and Kruskal-Wallis test followed by Dunn’s test for multiple comparisons were used. Prais-Winsten regression was used for temporal trend analysis and for spatial analysis the univariate and bivariate Local Moran analysis were applied. Results: 548,683 cases of dengue were confirmed in the period, the highest state incidence rate was observed in 2020, with 15 health regions presenting more than 500 cases/100,000 inhabitants. Higher incidences were observed among women, age group of 20-59 years and white color/race. Despite annual variations, a stationary trend was observed for incidence rates according to sex, age group, color/race and macro-region. More than half of the municipalities in Paraná formed spatial clusters (Moran’s I=0.679), where 73 (18.3%) municipalities with high incidence rate formed clusters. High-High clusters of dengue incidence rate with urbanization and High-Low clusters of incidence rate with vegetation cover were observed. Conclusion: Sociodemographic and environmental determinants were related to the high incidence rates of dengue and heterogeneous spatial distribution in the state of Paraná, indicating the need to strengthen health surveillance actions.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100436
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100436
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-549720220039
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
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.25 2022
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron_str ABRASCO
institution ABRASCO
reponame_str Revista brasileira de epidemiologia (Online)
collection Revista brasileira de epidemiologia (Online)
repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||revbrepi@usp.br
_version_ 1754212957197172736