Estimating the actual importation risk of dengue virus infection among Japanese travelers

PLoS One. 2018 Jun 20;13(6):e0198734. doi: 10.1371/journal.pone.0198734. eCollection 2018.

Abstract

Background: Frequent international travel facilitates the global spread of dengue fever. Japan has experienced an increasing number of imported case notifications of dengue virus (DENV) infection, mostly arising from Japanese travelers visiting South and Southeast Asian countries. This has led an autochthonous dengue outbreak in 2014 in Japan. The present study aimed to infer the risk of DENV infection among Japanese travelers to Asian countries, thereby obtaining an actual estimate of the number of DENV infections among travelers.

Methodology/principal findings: For eight destination countries (Indonesia, Philippines, Thailand, India, Malaysia, Vietnam, Sri Lanka, and Singapore), we collected age-dependent seroepidemiological data. We also retrieved the number of imported cases, who were notified to the Japanese government, as well as the total number of travelers to each destination. Using a mathematical model, we estimated the force of infection in each destination country with seroepidemiological data while jointly inferring the reporting coverage of DENV infections among Japanese travelers from datasets of imported cases and travelers. Assuming that travelers had a risk of infection that was identical to that of the local population during travel, the reporting coverage of dengue appeared to range from 0.6% to 4.3%. The risk of infection per journey ranged from 0.02% to 0.44%.

Conclusions/significance: We found that the actual number of imported cases of DENV infection among Japanese travelers could be more than 20 times the notified number of imported cases. This finding may be attributed to the substantial proportion of asymptomatic and under-ascertained infections.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Asia, Southeastern / epidemiology
  • Datasets as Topic / statistics & numerical data
  • Dengue / epidemiology
  • Dengue / transmission*
  • Dengue Virus
  • Humans
  • India / epidemiology
  • Japan / epidemiology
  • Models, Theoretical
  • Risk
  • Seroepidemiologic Studies
  • Sri Lanka / epidemiology
  • Time Factors
  • Travel-Related Illness*

Grants and funding

BY received financial support from China Scholarship Council. HN received funding from the Japan Agency for Medical Research and Development (AMED), Japanese Society for the Promotion of Science (JSPS) KAKENHI (grant numbers 16KT0130, 16K15356 and 17H04701), and Japan Science and Technology Agency (JST) CREST program (JPMJCR1413) and the Telecommunications Advancement Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.