The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , |
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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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 |
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Bmc Infectious Diseases |
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info:eu-repo/semantics/openAccess |
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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 |
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Universidade Federal de São Paulo (UNIFESP) |
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UNIFESP |
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UNIFESP |
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Repositório Institucional da UNIFESP |
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Repositório Institucional da UNIFESP |
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Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
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biblioteca.csp@unifesp.br |
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dc.identifier.doi.none.fl_str_mv |
10.1186/s12879-016-1517-z |