The spatiotemporal trajectory of a dengue epidemic in a medium-sized city

Detalhes bibliográficos
Autor(a) principal: Morato, Daniela G.
Data de Publicação: 2015
Outros Autores: Barreto, Florisneide Rodrigues, Braga, José Ueleres, Natividade, Marcio Santos da, Costa, Maria da Conceição Nascimento, Teixeira, Maria da Glória Lima Cruz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/19006
Resumo: Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of the notified dengue cases georeferenced according to epidemiological week (EW) and home address. Kernel density estimation and space-time interaction were analysed using the Knox method. The evolution of the epidemic was analysed using an animated projection technique. The dengue incidence was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1 March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and was identified space-time interaction. Three epicenters were responsible for spreading the disease in an expansion and relocation diffusion pattern. If the health services could detect in real time the epicenters and apply nimbly control measures, may possibly reduce the magnitude of dengue epidemics.
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spelling Morato, Daniela G.Barreto, Florisneide RodriguesBraga, José UeleresNatividade, Marcio Santos daCosta, Maria da Conceição NascimentoTeixeira, Maria da Glória Lima Cruz2016-04-28T19:28:05Z2016-04-28T19:28:05Z2015-061678-8060http://repositorio.ufba.br/ri/handle/ri/19006v.110, n.4, p.528-533Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of the notified dengue cases georeferenced according to epidemiological week (EW) and home address. Kernel density estimation and space-time interaction were analysed using the Knox method. The evolution of the epidemic was analysed using an animated projection technique. The dengue incidence was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1 March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and was identified space-time interaction. Three epicenters were responsible for spreading the disease in an expansion and relocation diffusion pattern. If the health services could detect in real time the epicenters and apply nimbly control measures, may possibly reduce the magnitude of dengue epidemics.Submitted by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2016-04-28T19:28:05Z No. of bitstreams: 1 Artigo Per nac. Florisneide barreto. 2015.pdf: 753382 bytes, checksum: a8273e5042802f5ed1bd5dd37f765659 (MD5)Made available in DSpace on 2016-04-28T19:28:05Z (GMT). No. of bitstreams: 1 Artigo Per nac. Florisneide barreto. 2015.pdf: 753382 bytes, checksum: a8273e5042802f5ed1bd5dd37f765659 (MD5) Previous issue date: 2015-06Rio de JaneiroFiocruzBrasilhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501417/pdf/0074-0276-mioc-110-4-0528.pdfreponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBADengueEpidemiologyEpidemicDiffusionSpatiotemporalTrajectoryThe spatiotemporal trajectory of a dengue epidemic in a medium-sized cityMem. Inst. Oswaldo Cruzinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessengORIGINALArtigo Per nac. Florisneide barreto. 2015.pdfArtigo Per nac. 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dc.title.pt_BR.fl_str_mv The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
dc.title.alternative.pt_BR.fl_str_mv Mem. Inst. Oswaldo Cruz
title The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
spellingShingle The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
Morato, Daniela G.
Dengue
Epidemiology
Epidemic
Diffusion
Spatiotemporal
Trajectory
title_short The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
title_full The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
title_fullStr The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
title_full_unstemmed The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
title_sort The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
author Morato, Daniela G.
author_facet Morato, Daniela G.
Barreto, Florisneide Rodrigues
Braga, José Ueleres
Natividade, Marcio Santos da
Costa, Maria da Conceição Nascimento
Teixeira, Maria da Glória Lima Cruz
author_role author
author2 Barreto, Florisneide Rodrigues
Braga, José Ueleres
Natividade, Marcio Santos da
Costa, Maria da Conceição Nascimento
Teixeira, Maria da Glória Lima Cruz
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Morato, Daniela G.
Barreto, Florisneide Rodrigues
Braga, José Ueleres
Natividade, Marcio Santos da
Costa, Maria da Conceição Nascimento
Teixeira, Maria da Glória Lima Cruz
dc.subject.por.fl_str_mv Dengue
Epidemiology
Epidemic
Diffusion
Spatiotemporal
Trajectory
topic Dengue
Epidemiology
Epidemic
Diffusion
Spatiotemporal
Trajectory
description Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of the notified dengue cases georeferenced according to epidemiological week (EW) and home address. Kernel density estimation and space-time interaction were analysed using the Knox method. The evolution of the epidemic was analysed using an animated projection technique. The dengue incidence was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1 March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and was identified space-time interaction. Three epicenters were responsible for spreading the disease in an expansion and relocation diffusion pattern. If the health services could detect in real time the epicenters and apply nimbly control measures, may possibly reduce the magnitude of dengue epidemics.
publishDate 2015
dc.date.issued.fl_str_mv 2015-06
dc.date.accessioned.fl_str_mv 2016-04-28T19:28:05Z
dc.date.available.fl_str_mv 2016-04-28T19:28:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/19006
dc.identifier.issn.none.fl_str_mv 1678-8060
dc.identifier.number.pt_BR.fl_str_mv v.110, n.4, p.528-533
identifier_str_mv 1678-8060
v.110, n.4, p.528-533
url http://repositorio.ufba.br/ri/handle/ri/19006
dc.language.iso.fl_str_mv eng
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dc.publisher.none.fl_str_mv Fiocruz
dc.publisher.country.fl_str_mv Brasil
publisher.none.fl_str_mv Fiocruz
dc.source.pt_BR.fl_str_mv http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501417/pdf/0074-0276-mioc-110-4-0528.pdf
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