• J Travel Med · Jun 2016

    Evidence-based risk assessment and communication: a new global dengue-risk map for travellers and clinicians.

    • Emily S Jentes, R Ryan Lash, Michael A Johansson, Tyler M Sharp, Ronnie Henry, Oliver J Brady, Mark J Sotir, Simon I Hay, Harold S Margolis, and Gary W Brunette.
    • Division of Global Migration and Quarantine, Centers for Disease Control and Prevention (CDC), 1600 Clifton Road, MS E-03, Atlanta, GA 30333, USA ejentes@cdc.gov.
    • J Travel Med. 2016 Jun 1; 23 (6).

    BackgroundInternational travel can expose travellers to pathogens not commonly found in their countries of residence, like dengue virus. Travellers and the clinicians who advise and treat them have unique needs for understanding the geographic extent of risk for dengue. Specifically, they should assess the need for prevention measures before travel and ensure appropriate treatment of illness post-travel. Previous dengue-risk maps published in the Centers for Disease Control and Prevention's Yellow Book lacked specificity, as there was a binary (risk, no risk) classification. We developed a process to compile evidence, evaluate it and apply more informative risk classifications.MethodsWe collected more than 839 observations from official reports, ProMED reports and published scientific research for the period 2005-2014. We classified each location as frequent/continuous risk if there was evidence of more than 10 dengue cases in at least three of the previous 10 years. For locations that did not fit this criterion, we classified locations as sporadic/uncertain risk if the location had evidence of at least one locally acquired dengue case during the last 10 years. We used expert opinion in limited instances to augment available data in areas where data were sparse.ResultsInitial categorizations classified 134 areas as frequent/continuous and 140 areas as sporadic/uncertain. CDC subject matter experts reviewed all initial frequent/continuous and sporadic/uncertain categorizations and the previously uncategorized areas. From this review, most categorizations stayed the same; however, 11 categorizations changed from the initial determinations.ConclusionsThese new risk classifications enable detailed consideration of dengue risk, with clearer meaning and a direct link to the evidence that supports the specific classification. Since many infectious diseases have dynamic risk, strong geographical heterogeneities and varying data quality and availability, using this approach for other diseases can improve the accuracy, clarity and transparency of risk communication.Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.

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