Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Cadernos de Saúde Pública |
Texto Completo: | https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366 |
Resumo: | The city of Rio de Janeiro, Brazil, shows high potential receptiveness to the introduction, dissemination, and persistence of dengue transmission. The pattern of territorial occupation in the municipality produced a heterogeneous and diverse mosaic, with differential vector distribution between and within neighborhoods, producing distinct epidemics on this scale of observation. The study seeks to identify these epidemics and the pattern of spatial and temporal diffusion of dengue transmission. A model was used for the identification of epidemics, considering the epidemic peak years and months, spatial distribution, and permanence of epidemics from January 2000 to December 2013. A total of 495 epidemic peaks were counted, and the time scale showed the highest occurrence in the months of March, April, and February, respectively. Some neighborhoods appear to present persistent dengue incidence, and the pattern of diffusion allows identifying key trajectories and timely months for intervention. |
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Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013Difusão espaço-tempo do dengue no Município do Rio de Janeiro, Brasil, no período de 2000-2013DengueSpatio-Temporal AnalysisEpidemicsDengueAnálise Espaço-TemporalEpidemiasThe city of Rio de Janeiro, Brazil, shows high potential receptiveness to the introduction, dissemination, and persistence of dengue transmission. The pattern of territorial occupation in the municipality produced a heterogeneous and diverse mosaic, with differential vector distribution between and within neighborhoods, producing distinct epidemics on this scale of observation. The study seeks to identify these epidemics and the pattern of spatial and temporal diffusion of dengue transmission. A model was used for the identification of epidemics, considering the epidemic peak years and months, spatial distribution, and permanence of epidemics from January 2000 to December 2013. A total of 495 epidemic peaks were counted, and the time scale showed the highest occurrence in the months of March, April, and February, respectively. Some neighborhoods appear to present persistent dengue incidence, and the pattern of diffusion allows identifying key trajectories and timely months for intervention.La ciudad de Río de Janeiro, Brasil, presenta un elevado potencial de receptividad para la introducción, diseminación y persistencia de la transmisión de dengue. La ocupación del municipio conformó un mosaico heterogéneo y diversificado, con distribución vectorial diferenciada entre y dentro de los barrios, proporcionando epidemias distintas en esta escala de observación. Este trabajo busca identificar esas epidemias y el patrón de difusión de la transmisión del dengue, bajo la dimensión de tiempo y espacio. Se utilizó un modelo para la identificación de epidemias, considerando los años y meses de pico epidémico, la distribución espacial y la permanencia de las epidemias, teniéndose en cuenta el período de enero de 2000 a diciembre de 2013. Se contabilizaron 495 picos epidémicos, y en la escala de tiempo se evidenció una mayor ocurrencia durante los meses de marzo, abril y febrero, respectivamente. Algunos barrios parecen presentar un cuadro persistente de incidencia de dengue y el comportamiento de la difusión de la enfermedad permite identificar trayectorias y meses oportunos para la intervención.A cidade do Rio de Janeiro, Brasil, apresenta elevado potencial de receptividade para a introdução, disseminação e persistência da transmissão de dengue. A ocupação do município conformou um mosaico heterogêneo e diversificado, com distribuição vetorial diferenciada entre e dentro dos bairros, proporcionando epidemias distintas nesta escala de observação. Este trabalho busca identificar essas epidemias e o padrão de difusão da transmissão do dengue sob a dimensão de tempo e espaço. Foi utilizado um modelo para a identificação de epidemias considerando os anos e meses de pico epidêmico, a distribuição espacial e a permanência das epidemias levando-se em conta o período de janeiro de 2000 a dezembro de 2013. Foram contabilizados 495 picos epidêmicos, e na escala de tempo evidenciou-se maior ocorrência nos meses de março, abril e fevereiro, respectivamente. Alguns bairros parecem apresentar um quadro persistente de incidência de dengue e o comportamento da difusão da doença permite identificar trajetórias e meses oportunos para a intervenção.Reports in Public HealthCadernos de Saúde Pública2017-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmltext/htmlapplication/pdfapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366Reports in Public Health; Vol. 33 No. 2 (2017): FebruaryCadernos de Saúde Pública; v. 33 n. 2 (2017): Fevereiro1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZengporhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13564https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13565https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13566https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13567Diego Ricardo XavierMônica de Avelar Figueiredo Mafra MagalhãesRenata GracieIzabel Cristina dos ReisVanderlei Pascoal de MatosChristovam Barcellosinfo:eu-repo/semantics/openAccess2024-03-06T15:29:16Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/6366Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:07:17.271414Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true |
dc.title.none.fl_str_mv |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 Difusão espaço-tempo do dengue no Município do Rio de Janeiro, Brasil, no período de 2000-2013 |
title |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 |
spellingShingle |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 Diego Ricardo Xavier Dengue Spatio-Temporal Analysis Epidemics Dengue Análise Espaço-Temporal Epidemias |
title_short |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 |
title_full |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 |
title_fullStr |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 |
title_full_unstemmed |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 |
title_sort |
Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013 |
author |
Diego Ricardo Xavier |
author_facet |
Diego Ricardo Xavier Mônica de Avelar Figueiredo Mafra Magalhães Renata Gracie Izabel Cristina dos Reis Vanderlei Pascoal de Matos Christovam Barcellos |
author_role |
author |
author2 |
Mônica de Avelar Figueiredo Mafra Magalhães Renata Gracie Izabel Cristina dos Reis Vanderlei Pascoal de Matos Christovam Barcellos |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Diego Ricardo Xavier Mônica de Avelar Figueiredo Mafra Magalhães Renata Gracie Izabel Cristina dos Reis Vanderlei Pascoal de Matos Christovam Barcellos |
dc.subject.por.fl_str_mv |
Dengue Spatio-Temporal Analysis Epidemics Dengue Análise Espaço-Temporal Epidemias |
topic |
Dengue Spatio-Temporal Analysis Epidemics Dengue Análise Espaço-Temporal Epidemias |
description |
The city of Rio de Janeiro, Brazil, shows high potential receptiveness to the introduction, dissemination, and persistence of dengue transmission. The pattern of territorial occupation in the municipality produced a heterogeneous and diverse mosaic, with differential vector distribution between and within neighborhoods, producing distinct epidemics on this scale of observation. The study seeks to identify these epidemics and the pattern of spatial and temporal diffusion of dengue transmission. A model was used for the identification of epidemics, considering the epidemic peak years and months, spatial distribution, and permanence of epidemics from January 2000 to December 2013. A total of 495 epidemic peaks were counted, and the time scale showed the highest occurrence in the months of March, April, and February, respectively. Some neighborhoods appear to present persistent dengue incidence, and the pattern of diffusion allows identifying key trajectories and timely months for intervention. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-30 |
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://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366 |
url |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13564 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13565 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13566 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6366/13567 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html text/html application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Reports in Public Health Cadernos de Saúde Pública |
publisher.none.fl_str_mv |
Reports in Public Health Cadernos de Saúde Pública |
dc.source.none.fl_str_mv |
Reports in Public Health; Vol. 33 No. 2 (2017): February Cadernos de Saúde Pública; v. 33 n. 2 (2017): Fevereiro 1678-4464 0102-311X reponame:Cadernos de Saúde Pública instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
instname_str |
Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Cadernos de Saúde Pública |
collection |
Cadernos de Saúde Pública |
repository.name.fl_str_mv |
Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ) |
repository.mail.fl_str_mv |
cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br |
_version_ |
1821325559469178880 |