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Modelling a Supplementary Vaccination Program of Rubella Using the 2012⁻2013 Epidemic Data in Japan
Taishi Kayano1,2, Hyojung Lee3,4, Hiroshi Nishiura5,6
1Graduate School of Medicine, Hokkaido University, Kita 15-Jo Nishi 7-Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, Japan. taishi.kaya@med.hokudai.ac.jp.
Insights
Japan
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- Japan faced a significant rubella epidemic (2012-2013) with over 12,000 cases and 45 congenital rubella syndrome (CRS) cases.
- Low vaccination rates in adult males may have contributed to the widespread rubella outbreak.
Purpose of the Study:
- To inform a supplementary immunization program (SIP) by identifying target male age groups and vaccine quantities.
- To enhance herd immunity and prevent future rubella epidemics in Japan.
Main Methods:
- Utilized a mathematical model to analyze 2012-2013 epidemiological data.
- Reconstructed age- and sex-dependent rubella transmission patterns.
- Estimated the effective reproduction number (R0) during the epidemic's growth phase.
Main Results:
- The effective reproduction number was estimated at 1.5 during the exponential growth phase in 2013.
- Vaccinating males aged 20-49 years with at least 17 million doses is crucial for future epidemic prevention.
- Even reduced vaccine doses in adult males can significantly decrease rubella and CRS incidence.
Conclusions:
- A substantial risk of another major rubella epidemic (2018-2019) is predicted, potentially affecting males aged 25-54.
- Targeted vaccination of adult males is essential for controlling rubella and preventing congenital rubella syndrome (CRS).
Abstract:
From 2012-2013, Japan experienced a major epidemic of rubella, involving a total of 12,614 rubella cases and 45 confirmed cases of congenital rubella syndrome (CRS). One of the contributory factors in this outbreak may have been that the majority of adult males remained unvaccinated. To plan for a supplementary immunization program (SIP) to elevate the herd immunity level, it is critical to determine the required amount of vaccine and identify the target age groups among males for the SIP. The present study aimed to answer these policy questions, employing a mathematical model and analyzing epidemiological datasets from 2012-2013. Our model allowed us to reconstruct the age- and sex-dependent transmission patterns, and the effective reproduction number during the exponential growth phase in 2013 was estimated to be 1.5. The computed next-generation matrix indicated that vaccinating adult males aged from 20-49 years in 2013, using at least 17 million doses, was considered essential to prevent a major epidemic in the future. The proposed model also indicated that, even with smaller doses of vaccine, the SIP in adult males could lead to a substantial reduction in the incidence of rubella, as well as CRS. Importantly, the present study endorses a substantial background risk of observing another major epidemic from 2018-2019, in which cases may be dominated by adult males aged from 25-54 years, that is, our identified age groups plus a five-year time lag from 2013 to 2018.
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