Dengue in northeastern Brazil: a spatial and temporal perspective

Detalhes bibliográficos
Autor(a) principal: Martins,Ana Beatriz Souza
Data de Publicação: 2020
Outros Autores: Correia,Francisco Gustavo Silveira, Cavalcanti,Luciano Pamplona de Góes, Alencar,Carlos Henrique
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista da Sociedade Brasileira de Medicina Tropical
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100389
Resumo: Abstract INTRODUCTION: The state of Ceará (Brazilian Northeast) has a high incidence of dengue. Therefore, we aimed to characterize the temporal patterns and spatial distribution of dengue cases in Ceará during 2001-2019. METHODS: A spatiotemporal ecological study was performed with secondary data. Time-trend analysis was performed using a segmented log-linear regression model to estimate the average annual percentage change (AAPC) and the annual percentage change (APC) in incidence of dengue. We also performed spatiotemporal analysis to identify the place, time, and relative risk (RR) of dengue clusters. RESULTS: There were 539,653 dengue cases. The AAPC reduced over time (-9.5%; 95% confidance interval [CI]: -18.3; -0.3). Three trends were identified-2001-2004: APC=-20.9% (95% CI: -65.1 to 44.8), 2005-2015: APC=7.9% (95% CI: -6.0 to 98.9), and 2016-2019: APC=-48.8% (95% CI: -83.0 to -6.1). During 2001-2007, 10 significant clusters were identified (RR=3.57-14.38: n=4 and RR=0.05-0.39: n=6). During 2008-2013, there was 1 cluster in the western region (RR= 3.40) and four other clusters (RR=0.02-0.15). The last period presented 5 high-RR clusters (RR=2.95-9.24). The low-RR clusters were located in the central-north, central-south, south, and northwest regions. However, the central-west region remained a high-RR cluster region throughout the study period. CONCLUSIONS: Dengue showed a decreasing incidence. During the epidemic years, the southern, eastern, and western regions presented high-risk clusters. Introduction of a new dengue serotype in a low-RR area can cause explosive outbreaks due to population susceptibility.
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spelling Dengue in northeastern Brazil: a spatial and temporal perspectiveDengueSpatial analysisTemporal analysisAbstract INTRODUCTION: The state of Ceará (Brazilian Northeast) has a high incidence of dengue. Therefore, we aimed to characterize the temporal patterns and spatial distribution of dengue cases in Ceará during 2001-2019. METHODS: A spatiotemporal ecological study was performed with secondary data. Time-trend analysis was performed using a segmented log-linear regression model to estimate the average annual percentage change (AAPC) and the annual percentage change (APC) in incidence of dengue. We also performed spatiotemporal analysis to identify the place, time, and relative risk (RR) of dengue clusters. RESULTS: There were 539,653 dengue cases. The AAPC reduced over time (-9.5%; 95% confidance interval [CI]: -18.3; -0.3). Three trends were identified-2001-2004: APC=-20.9% (95% CI: -65.1 to 44.8), 2005-2015: APC=7.9% (95% CI: -6.0 to 98.9), and 2016-2019: APC=-48.8% (95% CI: -83.0 to -6.1). During 2001-2007, 10 significant clusters were identified (RR=3.57-14.38: n=4 and RR=0.05-0.39: n=6). During 2008-2013, there was 1 cluster in the western region (RR= 3.40) and four other clusters (RR=0.02-0.15). The last period presented 5 high-RR clusters (RR=2.95-9.24). The low-RR clusters were located in the central-north, central-south, south, and northwest regions. However, the central-west region remained a high-RR cluster region throughout the study period. CONCLUSIONS: Dengue showed a decreasing incidence. During the epidemic years, the southern, eastern, and western regions presented high-risk clusters. Introduction of a new dengue serotype in a low-RR area can cause explosive outbreaks due to population susceptibility.Sociedade Brasileira de Medicina Tropical - SBMT2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100389Revista da Sociedade Brasileira de Medicina Tropical v.53 2020reponame:Revista da Sociedade Brasileira de Medicina Tropicalinstname:Sociedade Brasileira de Medicina Tropical (SBMT)instacron:SBMT10.1590/0037-8682-0435-2020info:eu-repo/semantics/openAccessMartins,Ana Beatriz SouzaCorreia,Francisco Gustavo SilveiraCavalcanti,Luciano Pamplona de GóesAlencar,Carlos Henriqueeng2020-12-08T00:00:00Zoai:scielo:S0037-86822020000100389Revistahttps://www.sbmt.org.br/portal/revista/ONGhttps://old.scielo.br/oai/scielo-oai.php||dalmo@rsbmt.uftm.edu.br|| rsbmt@rsbmt.uftm.edu.br1678-98490037-8682opendoar:2020-12-08T00:00Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT)false
dc.title.none.fl_str_mv Dengue in northeastern Brazil: a spatial and temporal perspective
title Dengue in northeastern Brazil: a spatial and temporal perspective
spellingShingle Dengue in northeastern Brazil: a spatial and temporal perspective
Martins,Ana Beatriz Souza
Dengue
Spatial analysis
Temporal analysis
title_short Dengue in northeastern Brazil: a spatial and temporal perspective
title_full Dengue in northeastern Brazil: a spatial and temporal perspective
title_fullStr Dengue in northeastern Brazil: a spatial and temporal perspective
title_full_unstemmed Dengue in northeastern Brazil: a spatial and temporal perspective
title_sort Dengue in northeastern Brazil: a spatial and temporal perspective
author Martins,Ana Beatriz Souza
author_facet Martins,Ana Beatriz Souza
Correia,Francisco Gustavo Silveira
Cavalcanti,Luciano Pamplona de Góes
Alencar,Carlos Henrique
author_role author
author2 Correia,Francisco Gustavo Silveira
Cavalcanti,Luciano Pamplona de Góes
Alencar,Carlos Henrique
author2_role author
author
author
dc.contributor.author.fl_str_mv Martins,Ana Beatriz Souza
Correia,Francisco Gustavo Silveira
Cavalcanti,Luciano Pamplona de Góes
Alencar,Carlos Henrique
dc.subject.por.fl_str_mv Dengue
Spatial analysis
Temporal analysis
topic Dengue
Spatial analysis
Temporal analysis
description Abstract INTRODUCTION: The state of Ceará (Brazilian Northeast) has a high incidence of dengue. Therefore, we aimed to characterize the temporal patterns and spatial distribution of dengue cases in Ceará during 2001-2019. METHODS: A spatiotemporal ecological study was performed with secondary data. Time-trend analysis was performed using a segmented log-linear regression model to estimate the average annual percentage change (AAPC) and the annual percentage change (APC) in incidence of dengue. We also performed spatiotemporal analysis to identify the place, time, and relative risk (RR) of dengue clusters. RESULTS: There were 539,653 dengue cases. The AAPC reduced over time (-9.5%; 95% confidance interval [CI]: -18.3; -0.3). Three trends were identified-2001-2004: APC=-20.9% (95% CI: -65.1 to 44.8), 2005-2015: APC=7.9% (95% CI: -6.0 to 98.9), and 2016-2019: APC=-48.8% (95% CI: -83.0 to -6.1). During 2001-2007, 10 significant clusters were identified (RR=3.57-14.38: n=4 and RR=0.05-0.39: n=6). During 2008-2013, there was 1 cluster in the western region (RR= 3.40) and four other clusters (RR=0.02-0.15). The last period presented 5 high-RR clusters (RR=2.95-9.24). The low-RR clusters were located in the central-north, central-south, south, and northwest regions. However, the central-west region remained a high-RR cluster region throughout the study period. CONCLUSIONS: Dengue showed a decreasing incidence. During the epidemic years, the southern, eastern, and western regions presented high-risk clusters. Introduction of a new dengue serotype in a low-RR area can cause explosive outbreaks due to population susceptibility.
publishDate 2020
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publisher.none.fl_str_mv Sociedade Brasileira de Medicina Tropical - SBMT
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