The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Ximenes, Raphael
Data de Publicação: 2016
Outros Autores: Amaku, Marcos, Lopez, Luis Fernandez, Coutinho, Francisco Antonio Bezerra, Burattini, Marcelo Nascimento [UNIFESP], Greenhalgh, David, Wilder-Smith, Annelies, Struchiner, Claudio Jose, Massad, Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
dARK ID: ark:/48912/0013000006jgt
DOI: 10.1186/s12879-016-1517-z
Texto Completo: http://dx.doi.org/10.1186/s12879-016-1517-z
https://repositorio.unifesp.br/handle/11600/56032
Resumo: Background: Rio de Janeiro in Brazil will host the Summer Olympic Games in 2016. About 400,000 non-immune foreign tourists are expected to attend the games. As Brazil is the country with the highest number of dengue cases worldwide, concern about the risk of dengue for travelers is justified. Methods: A mathematical model to calculate the risk of developing dengue for foreign tourists attending the Olympic Games in Rio de Janeiro in 2016 is proposed. A system of differential equation models the spread of dengue amongst the resident population and a stochastic approximation is used to assess the risk to tourists. Historical reported dengue time series in Rio de Janeiro for the years 2000-2015 is used to find out the time dependent force of infection, which is then used to estimate the potential risks to a large tourist cohort. The worst outbreak of dengue occurred in 2012 and this and the other years in the history of Dengue in Rio are used to discuss potential risks to tourists amongst visitors to the forthcoming Rio Olympics. Results: The individual risk to be infected by dengue is very much dependent on the ratio asymptomatic/symptomatic considered but independently of this the worst month of August in the period studied in terms of dengue transmission, occurred in 2007. Conclusions: If dengue returns in 2016 with the pattern observed in the worst month of August in history (2007), the expected number of symptomatic and asymptomatic dengue cases among tourists will be 23 and 206 cases, respectively. This worst case scenario would have an incidence of 5.75 (symptomatic) and 51.5 (asymptomatic) per 100,000 individuals.
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spelling The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, BrazilDengueMathematical modelsRisk assessmentOlympic gamesTravel medicineBackground: Rio de Janeiro in Brazil will host the Summer Olympic Games in 2016. About 400,000 non-immune foreign tourists are expected to attend the games. As Brazil is the country with the highest number of dengue cases worldwide, concern about the risk of dengue for travelers is justified. Methods: A mathematical model to calculate the risk of developing dengue for foreign tourists attending the Olympic Games in Rio de Janeiro in 2016 is proposed. A system of differential equation models the spread of dengue amongst the resident population and a stochastic approximation is used to assess the risk to tourists. Historical reported dengue time series in Rio de Janeiro for the years 2000-2015 is used to find out the time dependent force of infection, which is then used to estimate the potential risks to a large tourist cohort. The worst outbreak of dengue occurred in 2012 and this and the other years in the history of Dengue in Rio are used to discuss potential risks to tourists amongst visitors to the forthcoming Rio Olympics. Results: The individual risk to be infected by dengue is very much dependent on the ratio asymptomatic/symptomatic considered but independently of this the worst month of August in the period studied in terms of dengue transmission, occurred in 2007. Conclusions: If dengue returns in 2016 with the pattern observed in the worst month of August in history (2007), the expected number of symptomatic and asymptomatic dengue cases among tourists will be 23 and 206 cases, respectively. This worst case scenario would have an incidence of 5.75 (symptomatic) and 51.5 (asymptomatic) per 100,000 individuals.Univ Sao Paulo, Sch Med, Sao Paulo, SP, BrazilHCFMUSP LIM01, Sao Paulo, SP, BrazilFlorida Int Univ, Ctr Internet Augmented Res & Assessment, Miami, FL 33199 USAUniv Fed Sao Paulo, Escola Paulista Med, Sao Paulo, SP, BrazilUniv Strathclyde, Glasgow, Lanark, ScotlandNanyang Univ, Lee Kong Chian Sch Med, Singapore, SingaporeFundacao Oswaldo Cruz, Programme Sci Computat, Rio De Janeiro, BrazilLondon Sch Hyg & Trop Med, London WC1, EnglandUniv Fed Sao Paulo, Escola Paulista Med, Sao Paulo, SP, BrazilWeb of ScienceLIM01-HCFMUSPCNPqFAPESPBrazilian Ministry of Health (Fundo Nacional de Saude)Dengue Tools under the Health theme of the Seventh Framework Programme of the European CommunityLeverhulme Trust Research FellowshipCNPq: 300981/2014-7FAPESP: 2012/18463-4MS: 777588/2012Dengue Tools: 282589Leverhulme: RF-2015-88Biomed Central Ltd2020-07-22T13:23:05Z2020-07-22T13:23:05Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion-application/pdfhttp://dx.doi.org/10.1186/s12879-016-1517-zBmc Infectious Diseases. London, v. 16, p. -, 2016.10.1186/s12879-016-1517-zWOS000375080600001.pdf1471-2334https://repositorio.unifesp.br/handle/11600/56032WOS:000375080600001ark:/48912/0013000006jgtengBmc Infectious DiseasesLondoninfo:eu-repo/semantics/openAccessXimenes, RaphaelAmaku, MarcosLopez, Luis FernandezCoutinho, Francisco Antonio BezerraBurattini, Marcelo Nascimento [UNIFESP]Greenhalgh, DavidWilder-Smith, AnneliesStruchiner, Claudio JoseMassad, Eduardoreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-08-03T09:10:26Zoai:repositorio.unifesp.br/:11600/56032Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-12-11T20:01:10.362112Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
title The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
spellingShingle The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
Ximenes, Raphael
Dengue
Mathematical models
Risk assessment
Olympic games
Travel medicine
Ximenes, Raphael
Dengue
Mathematical models
Risk assessment
Olympic games
Travel medicine
title_short The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
title_full The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
title_fullStr The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
title_full_unstemmed The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
title_sort The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
author Ximenes, Raphael
author_facet Ximenes, Raphael
Ximenes, Raphael
Amaku, Marcos
Lopez, Luis Fernandez
Coutinho, Francisco Antonio Bezerra
Burattini, Marcelo Nascimento [UNIFESP]
Greenhalgh, David
Wilder-Smith, Annelies
Struchiner, Claudio Jose
Massad, Eduardo
Amaku, Marcos
Lopez, Luis Fernandez
Coutinho, Francisco Antonio Bezerra
Burattini, Marcelo Nascimento [UNIFESP]
Greenhalgh, David
Wilder-Smith, Annelies
Struchiner, Claudio Jose
Massad, Eduardo
author_role author
author2 Amaku, Marcos
Lopez, Luis Fernandez
Coutinho, Francisco Antonio Bezerra
Burattini, Marcelo Nascimento [UNIFESP]
Greenhalgh, David
Wilder-Smith, Annelies
Struchiner, Claudio Jose
Massad, Eduardo
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ximenes, Raphael
Amaku, Marcos
Lopez, Luis Fernandez
Coutinho, Francisco Antonio Bezerra
Burattini, Marcelo Nascimento [UNIFESP]
Greenhalgh, David
Wilder-Smith, Annelies
Struchiner, Claudio Jose
Massad, Eduardo
dc.subject.por.fl_str_mv Dengue
Mathematical models
Risk assessment
Olympic games
Travel medicine
topic Dengue
Mathematical models
Risk assessment
Olympic games
Travel medicine
description Background: Rio de Janeiro in Brazil will host the Summer Olympic Games in 2016. About 400,000 non-immune foreign tourists are expected to attend the games. As Brazil is the country with the highest number of dengue cases worldwide, concern about the risk of dengue for travelers is justified. Methods: A mathematical model to calculate the risk of developing dengue for foreign tourists attending the Olympic Games in Rio de Janeiro in 2016 is proposed. A system of differential equation models the spread of dengue amongst the resident population and a stochastic approximation is used to assess the risk to tourists. Historical reported dengue time series in Rio de Janeiro for the years 2000-2015 is used to find out the time dependent force of infection, which is then used to estimate the potential risks to a large tourist cohort. The worst outbreak of dengue occurred in 2012 and this and the other years in the history of Dengue in Rio are used to discuss potential risks to tourists amongst visitors to the forthcoming Rio Olympics. Results: The individual risk to be infected by dengue is very much dependent on the ratio asymptomatic/symptomatic considered but independently of this the worst month of August in the period studied in terms of dengue transmission, occurred in 2007. Conclusions: If dengue returns in 2016 with the pattern observed in the worst month of August in history (2007), the expected number of symptomatic and asymptomatic dengue cases among tourists will be 23 and 206 cases, respectively. This worst case scenario would have an incidence of 5.75 (symptomatic) and 51.5 (asymptomatic) per 100,000 individuals.
publishDate 2016
dc.date.none.fl_str_mv 2016
2020-07-22T13:23:05Z
2020-07-22T13:23:05Z
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://dx.doi.org/10.1186/s12879-016-1517-z
Bmc Infectious Diseases. London, v. 16, p. -, 2016.
10.1186/s12879-016-1517-z
WOS000375080600001.pdf
1471-2334
https://repositorio.unifesp.br/handle/11600/56032
WOS:000375080600001
dc.identifier.dark.fl_str_mv ark:/48912/0013000006jgt
url http://dx.doi.org/10.1186/s12879-016-1517-z
https://repositorio.unifesp.br/handle/11600/56032
identifier_str_mv Bmc Infectious Diseases. London, v. 16, p. -, 2016.
10.1186/s12879-016-1517-z
WOS000375080600001.pdf
1471-2334
WOS:000375080600001
ark:/48912/0013000006jgt
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bmc Infectious Diseases
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv -
application/pdf
dc.coverage.none.fl_str_mv London
dc.publisher.none.fl_str_mv Biomed Central Ltd
publisher.none.fl_str_mv Biomed Central Ltd
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
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dc.identifier.doi.none.fl_str_mv 10.1186/s12879-016-1517-z