Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data

Taishi Kayano, Hyojung Lee, Ryo Kinoshita, Hiroshi Nishiura

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Objective: Even with relatively high vaccination coverage, Japan experienced rubella epidemics in 2012–2014 and 2018–2019, which were fueled by untraced imported cases. We aimed to develop a risk map for rubella epidemics in Japan by geographic location via analysis of seroepidemiological data and accounting for the abundance of foreign visitors. Methods: Geographic age distribution and seroprevalence were used to compute the age- and sex-dependent next-generation matrix in each region. We computed the probability of a major epidemic using the assumed number of untraced imported rubella cases proportionally modeled to the number of foreign travelers. Results: Risks of a major epidemic were high in areas with capital cities, while areas with a greater fraction of older people yielded smaller effective reproduction numbers, a lower volume of foreign travelers, and thus a lower probability of a major epidemic. The volume of susceptible adult males was larger in urban geographic regions, having a greater number of foreign travelers than remote areas. Conclusions: Our findings are consistent with the observation of multiple large clusters of rubella cases in urban areas during 2012–2014 and 2018–2019. Should a future rubella epidemic occur, it will likely be in geographic areas with capital cities.

Original languageEnglish
Pages (from-to)203-211
Number of pages9
JournalInternational Journal of Infectious Diseases
Volume102
DOIs
StatePublished - Jan 2021

Keywords

  • Epidemiology
  • Importation
  • Rubella virus
  • Statistical model
  • Travel
  • Vaccination

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