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Insights from epidemiological game theory into gender-specific vaccination against rubella
- Source :
- Mathematical biosciences and engineering : MBE. 6(4)
- Publication Year :
- 2009
-
Abstract
- Rubella is a highly contagious childhood disease that causes relatively mild symptoms. However, rubella can result in severe congenital defects, known as congenital rubella syndrome (CRS), if transmitted from a mother to a fetus. Consequently, women have higher incentive to vaccinate against rubella than men do. Within the population vaccination reduces transmission but also increases the average age of infection and possibly the risk of CRS among unvaccinated females. To evaluate how the balance among these factors results in optimal coverage of vaccination, we developed a game theoretic age-structured epidemiological model of rubella transmission and vaccination. We found that high levels of vaccination for both genders are most effective in maximizing average utility across the population by decreasing the risk of CRS and reducing transmission of rubella. By contrast, the demands for vaccines driven by self-interest among males and females are $0\%$ and $100\%$ acceptance, respectively, if the cost of vaccination is relatively low. Our results suggest that the rubella vaccination by males that is likely to be achieved on voluntary basis without additional incentives would have been far lower than the population optimum, if rubella vaccine were offered separately instead of combined with measles and mumps vaccination as the MMR vaccine.
- Subjects :
- Male
Epidemiologic Factors
Cost-Benefit Analysis
Population
Rubella Syndrome, Congenital
MMR vaccine
Measles
Rubella
Models, Biological
Rubella vaccine
Sex Factors
Game Theory
Pregnancy
medicine
Humans
Rubella Vaccine
education
education.field_of_study
Congenital rubella syndrome
Transmission (medicine)
business.industry
Applied Mathematics
General Medicine
Mathematical Concepts
medicine.disease
Vaccination
Computational Mathematics
Modeling and Simulation
Immunology
Female
General Agricultural and Biological Sciences
business
Demography
medicine.drug
Subjects
Details
- ISSN :
- 15471063
- Volume :
- 6
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Mathematical biosciences and engineering : MBE
- Accession number :
- edsair.doi.dedup.....9deb07c59118fe3f8d870b36f613113e