Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102009000100001 |
Resumo: | OBJECTIVE: To estimate the basic reproduction number (R0) of dengue fever including both imported and autochthonous cases. METHODS: The study was conducted based on epidemiological data of the 2003 dengue epidemic in Brasília, Brazil. The basic reproduction number is estimated from the epidemic curve, fitting linearly the increase of initial cases. Aiming at simulating an epidemic with both autochthonous and imported cases, a "susceptible-infectious-resistant" compartmental model was designed, in which the imported cases were considered as an external forcing. The ratio between R0 of imported versus autochthonous cases was used as an estimator of real R0. RESULTS: The comparison of both reproduction numbers (only autochthonous versus all cases) showed that considering all cases as autochthonous yielded a R0 above one, although the real R0 was below one. The same results were seen when the method was applied on simulated epidemics with fixed R0. This method was also compared to some previous proposed methods by other authors and showed that the latter underestimated R0 values. CONCLUSIONS: It was shown that the inclusion of both imported and autochthonous cases is crucial for the modeling of the epidemic dynamics, and thus provides critical information for decision makers in charge of prevention and control of this disease. |
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Revista de Saúde Pública |
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Imported and autochthonous cases in the dynamics of dengue epidemics in BrazilDengue/epidemiologyFlavivirus Infections/transmissionRiskCommunicable PeriodDisease OutbreaksEpidemiologic SurveillanceOBJECTIVE: To estimate the basic reproduction number (R0) of dengue fever including both imported and autochthonous cases. METHODS: The study was conducted based on epidemiological data of the 2003 dengue epidemic in Brasília, Brazil. The basic reproduction number is estimated from the epidemic curve, fitting linearly the increase of initial cases. Aiming at simulating an epidemic with both autochthonous and imported cases, a "susceptible-infectious-resistant" compartmental model was designed, in which the imported cases were considered as an external forcing. The ratio between R0 of imported versus autochthonous cases was used as an estimator of real R0. RESULTS: The comparison of both reproduction numbers (only autochthonous versus all cases) showed that considering all cases as autochthonous yielded a R0 above one, although the real R0 was below one. The same results were seen when the method was applied on simulated epidemics with fixed R0. This method was also compared to some previous proposed methods by other authors and showed that the latter underestimated R0 values. CONCLUSIONS: It was shown that the inclusion of both imported and autochthonous cases is crucial for the modeling of the epidemic dynamics, and thus provides critical information for decision makers in charge of prevention and control of this disease.Faculdade de Saúde Pública da Universidade de São Paulo2009-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102009000100001Revista de Saúde Pública v.43 n.1 2009reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-89102009000100001info:eu-repo/semantics/openAccessDegallier,NicolasFavier,CharlyBoulanger,Jean-PhilippeMenkes,Christopheeng2010-08-06T00:00:00Zoai:scielo:S0034-89102009000100001Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2010-08-06T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil |
title |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil |
spellingShingle |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil Degallier,Nicolas Dengue/epidemiology Flavivirus Infections/transmission Risk Communicable Period Disease Outbreaks Epidemiologic Surveillance |
title_short |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil |
title_full |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil |
title_fullStr |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil |
title_full_unstemmed |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil |
title_sort |
Imported and autochthonous cases in the dynamics of dengue epidemics in Brazil |
author |
Degallier,Nicolas |
author_facet |
Degallier,Nicolas Favier,Charly Boulanger,Jean-Philippe Menkes,Christophe |
author_role |
author |
author2 |
Favier,Charly Boulanger,Jean-Philippe Menkes,Christophe |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Degallier,Nicolas Favier,Charly Boulanger,Jean-Philippe Menkes,Christophe |
dc.subject.por.fl_str_mv |
Dengue/epidemiology Flavivirus Infections/transmission Risk Communicable Period Disease Outbreaks Epidemiologic Surveillance |
topic |
Dengue/epidemiology Flavivirus Infections/transmission Risk Communicable Period Disease Outbreaks Epidemiologic Surveillance |
description |
OBJECTIVE: To estimate the basic reproduction number (R0) of dengue fever including both imported and autochthonous cases. METHODS: The study was conducted based on epidemiological data of the 2003 dengue epidemic in Brasília, Brazil. The basic reproduction number is estimated from the epidemic curve, fitting linearly the increase of initial cases. Aiming at simulating an epidemic with both autochthonous and imported cases, a "susceptible-infectious-resistant" compartmental model was designed, in which the imported cases were considered as an external forcing. The ratio between R0 of imported versus autochthonous cases was used as an estimator of real R0. RESULTS: The comparison of both reproduction numbers (only autochthonous versus all cases) showed that considering all cases as autochthonous yielded a R0 above one, although the real R0 was below one. The same results were seen when the method was applied on simulated epidemics with fixed R0. This method was also compared to some previous proposed methods by other authors and showed that the latter underestimated R0 values. CONCLUSIONS: It was shown that the inclusion of both imported and autochthonous cases is crucial for the modeling of the epidemic dynamics, and thus provides critical information for decision makers in charge of prevention and control of this disease. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-02-01 |
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://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102009000100001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102009000100001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0034-89102009000100001 |
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 |
Faculdade de Saúde Pública da Universidade de São Paulo |
publisher.none.fl_str_mv |
Faculdade de Saúde Pública da Universidade de São Paulo |
dc.source.none.fl_str_mv |
Revista de Saúde Pública v.43 n.1 2009 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
_version_ |
1748936497769218048 |