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
Texto Completo: https://repositorio.unifesp.br/handle/11600/56032
http://dx.doi.org/10.1186/s12879-016-1517-z
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.
id UFSP_62519aec9f6ea54c846e8c8da865beec
oai_identifier_str oai:repositorio.unifesp.br:11600/56032
network_acronym_str UFSP
network_name_str Repositório Institucional da UNIFESP
repository_id_str 3465
spelling Ximenes, RaphaelAmaku, MarcosLopez, Luis FernandezCoutinho, Francisco Antonio BezerraBurattini, Marcelo Nascimento [UNIFESP]Greenhalgh, DavidWilder-Smith, AnneliesStruchiner, Claudio JoseMassad, Eduardo2020-07-22T13:23:05Z2020-07-22T13:23:05Z2016Bmc Infectious Diseases. London, v. 16, p. -, 2016.1471-2334https://repositorio.unifesp.br/handle/11600/56032http://dx.doi.org/10.1186/s12879-016-1517-zWOS000375080600001.pdf10.1186/s12879-016-1517-zWOS:000375080600001Background: 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.LIM01-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 FellowshipUniv 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, BrazilCNPq: 300981/2014-7FAPESP: 2012/18463-4MS: 777588/2012Dengue Tools: 282589Leverhulme: RF-2015-88Web of Science-engBiomed Central LtdBmc Infectious DiseasesDengueMathematical modelsRisk assessmentOlympic gamesTravel medicineThe risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleLondon16info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESPORIGINALWOS000375080600001.pdfapplication/pdf775089${dspace.ui.url}/bitstream/11600/56032/1/WOS000375080600001.pdf2f21a9dbd7dc455d8cee3ce91c2e89a9MD51open accessTEXTWOS000375080600001.pdf.txtWOS000375080600001.pdf.txtExtracted texttext/plain41460${dspace.ui.url}/bitstream/11600/56032/2/WOS000375080600001.pdf.txte6d9edd2dd29b7f4eee7b8875bce6116MD52open accessTHUMBNAILWOS000375080600001.pdf.jpgWOS000375080600001.pdf.jpgIM Thumbnailimage/jpeg6833${dspace.ui.url}/bitstream/11600/56032/4/WOS000375080600001.pdf.jpgf997c16cea13604722630e0b737f5120MD54open access11600/560322022-08-01 01:29:59.441open accessoai:repositorio.unifesp.br:11600/56032Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestopendoar:34652023-05-25T12:21:25.171191Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.en.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
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
title_full_unstemmed 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
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.eng.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.issued.fl_str_mv 2016
dc.date.accessioned.fl_str_mv 2020-07-22T13:23:05Z
dc.date.available.fl_str_mv 2020-07-22T13:23:05Z
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.citation.fl_str_mv Bmc Infectious Diseases. London, v. 16, p. -, 2016.
dc.identifier.uri.fl_str_mv https://repositorio.unifesp.br/handle/11600/56032
http://dx.doi.org/10.1186/s12879-016-1517-z
dc.identifier.issn.none.fl_str_mv 1471-2334
dc.identifier.file.none.fl_str_mv WOS000375080600001.pdf
dc.identifier.doi.none.fl_str_mv 10.1186/s12879-016-1517-z
dc.identifier.wos.none.fl_str_mv WOS:000375080600001
identifier_str_mv Bmc Infectious Diseases. London, v. 16, p. -, 2016.
1471-2334
WOS000375080600001.pdf
10.1186/s12879-016-1517-z
WOS:000375080600001
url https://repositorio.unifesp.br/handle/11600/56032
http://dx.doi.org/10.1186/s12879-016-1517-z
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.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 -
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
bitstream.url.fl_str_mv ${dspace.ui.url}/bitstream/11600/56032/1/WOS000375080600001.pdf
${dspace.ui.url}/bitstream/11600/56032/2/WOS000375080600001.pdf.txt
${dspace.ui.url}/bitstream/11600/56032/4/WOS000375080600001.pdf.jpg
bitstream.checksum.fl_str_mv 2f21a9dbd7dc455d8cee3ce91c2e89a9
e6d9edd2dd29b7f4eee7b8875bce6116
f997c16cea13604722630e0b737f5120
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv
_version_ 1783460280583323648