The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
Ximenes, Raphael and Amaku, Marcos and Lopez, Luis Fernandez and Coutinho, Francisco Antonio Bezzerra and Burattini, Marcelo Nascimento and Greenhalgh, David and Wilder-Smith, Annelies and Struchiner, Claudio José and Massad, Eduardo (2016) The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil. BMC Infectious Diseases, 16 (186). ISSN 1471-2334 (https://doi.org/10.1186/s12879-016-1517-z)
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Abstract
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.
ORCID iDs
Ximenes, Raphael, Amaku, Marcos, Lopez, Luis Fernandez, Coutinho, Francisco Antonio Bezzerra, Burattini, Marcelo Nascimento, Greenhalgh, David ORCID: https://orcid.org/0000-0001-5380-3307, Wilder-Smith, Annelies, Struchiner, Claudio José and Massad, Eduardo;-
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Item type: Article ID code: 56311 Dates: DateEvent29 April 2016Published15 April 2016AcceptedSubjects: Science > Mathematics > Probabilities. Mathematical statistics
Medicine > Public aspects of medicine > Public health. Hygiene. Preventive MedicineDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 09 May 2016 11:26 Last modified: 11 Nov 2024 11:25 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/56311