Title |
Risk of travel-related cases of Zika virus infection is predicted by transmission intensity in outbreak-affected countries
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Published in |
Parasites & Vectors, January 2017
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DOI | 10.1186/s13071-017-1977-z |
Pubmed ID | |
Authors |
Nicholas H. Ogden, Aamir Fazil, David Safronetz, Michael A. Drebot, Justine Wallace, Erin E. Rees, Kristina Decock, Victoria Ng |
Abstract |
Zika virus (ZIKV) infection is emerging globally, currently causing outbreaks in the Caribbean, and Central and South America, and putting travellers to affected countries at risk. Model-based estimates for the basic reproduction number (R 0 ) of ZIKV in affected Caribbean and Central and South American countries, obtained from 2015 to 2016 human case surveillance data, were compared by logistic regression and Receiver-Operating Characteristic (ROC), with the prevalence of ZIKV-positive test results in Canadians who travelled to them. Estimates of R 0 for each country were a good predictor of the ZIKV test result (ROC area under the curve = 0.83) and the odds of testing positive was 11-fold greater for travellers visiting countries with estimated R 0 ≥ 2.76, compared to those visiting countries with R 0 < 2.76. Risk to travellers varies widely amongst countries affected by ZIKV outbreaks. Estimates of R 0 from surveillance data can assist in assessing levels of risk for travellers and may help improve travel advice. They may also allow better prediction of spread of ZIKV from affected countries by travellers. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 47 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 12 | 24% |
Student > Master | 8 | 16% |
Student > Bachelor | 8 | 16% |
Student > Doctoral Student | 4 | 8% |
Student > Ph. D. Student | 3 | 6% |
Other | 6 | 12% |
Unknown | 9 | 18% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 11 | 22% |
Medicine and Dentistry | 9 | 18% |
Nursing and Health Professions | 4 | 8% |
Social Sciences | 4 | 8% |
Immunology and Microbiology | 3 | 6% |
Other | 11 | 22% |
Unknown | 8 | 16% |