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 R, Braga,José U, Natividade,Marcio S, Costa,Maria da Conceição N, Morato,Vanessa, Teixeira,Maria da Glória Lima Cruz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Memórias do Instituto Oswaldo Cruz
Texto Completo: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762015000400528
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 The spatiotemporal trajectory of a dengue epidemic in a medium-sized citydengueepidemiologyepidemicdiffusionspatiotemporaltrajectoryUnderstanding 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.Instituto Oswaldo Cruz, Ministério da Saúde2015-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762015000400528Memórias do Instituto Oswaldo Cruz v.110 n.4 2015reponame:Memórias do Instituto Oswaldo Cruzinstname:Fundação Oswaldo Cruzinstacron:FIOCRUZ10.1590/0074-0276140388info:eu-repo/semantics/openAccessMorato,Daniela GBarreto,Florisneide RBraga,José UNatividade,Marcio SCosta,Maria da Conceição NMorato,VanessaTeixeira,Maria da Glória Lima Cruzeng2020-04-25T17:52:12Zhttp://www.scielo.br/oai/scielo-oai.php0074-02761678-8060opendoar:null2020-04-26 02:20:42.673Memórias do Instituto Oswaldo Cruz - Fundação Oswaldo Cruztrue
dc.title.none.fl_str_mv The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
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 R
Braga,José U
Natividade,Marcio S
Costa,Maria da Conceição N
Morato,Vanessa
Teixeira,Maria da Glória Lima Cruz
author_role author
author2 Barreto,Florisneide R
Braga,José U
Natividade,Marcio S
Costa,Maria da Conceição N
Morato,Vanessa
Teixeira,Maria da Glória Lima Cruz
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Morato,Daniela G
Barreto,Florisneide R
Braga,José U
Natividade,Marcio S
Costa,Maria da Conceição N
Morato,Vanessa
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
dc.description.none.fl_txt_mv 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.
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.none.fl_str_mv 2015-06-01
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://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762015000400528
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762015000400528
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0074-0276140388
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 Instituto Oswaldo Cruz, Ministério da Saúde
publisher.none.fl_str_mv Instituto Oswaldo Cruz, Ministério da Saúde
dc.source.none.fl_str_mv Memórias do Instituto Oswaldo Cruz v.110 n.4 2015
reponame:Memórias do Instituto Oswaldo Cruz
instname:Fundação Oswaldo Cruz
instacron:FIOCRUZ
reponame_str Memórias do Instituto Oswaldo Cruz
collection Memórias do Instituto Oswaldo Cruz
instname_str Fundação Oswaldo Cruz
instacron_str FIOCRUZ
institution FIOCRUZ
repository.name.fl_str_mv Memórias do Instituto Oswaldo Cruz - Fundação Oswaldo Cruz
repository.mail.fl_str_mv
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