The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
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 |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFBA instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
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Universidade Federal da Bahia (UFBA) |
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UFBA |
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UFBA |
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Repositório Institucional da UFBA |
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Repositório Institucional da UFBA |
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