Quantitative investigations of different vaccination policies for the control of congenital rubella syndrome (CRS) in the United Kingdom
- PMID: 3701044
- PMCID: PMC2129652
- DOI: 10.1017/s0022172400066079
Quantitative investigations of different vaccination policies for the control of congenital rubella syndrome (CRS) in the United Kingdom
Abstract
The paper examines predictions of the impact of various one-, two- and three-stage vaccination policies on the incidence of congenital rubella syndrome (CRS) in the United Kingdom with the aid of a mathematical model of the transmission dynamics of rubella virus. Parameter estimates for the model are derived from either serological data or case notifications, and special attention is given to the significance of age-related changes in the rate of exposure to rubella infection and heterogeneous mixing between age groups. Where possible, model predictions are compared with observed epidemiological trends. The principal conclusion of the analyses is that benefit is to be gained in the UK, both in the short and long term, by the introduction of a multiple-stage vaccination policy involving high levels of vaccination coverage of young male and female children (at around two years of age) and teenage girls (between the ages of 10-15 years), plus continued surveillance and vaccination of adult women in the child-bearing age classes. Model predictions suggest that to reduce the incidence of CRS in future years, below the level generated by a continuation of the current UK policy (the vaccination of teenage girls), would require high rates of vaccination (greater than 60%) of both boys and girls at around two years of age. Numerical studies also suggest that uniform vaccination coverage levels of greater than 80-85% of young male and female children could, in the long term (40 years or more), eradicate rubella virus from the population. The robustness of these conclusions with respect to the accuracy of parameter estimates and various assumptions concerning the pattern of age-related change in exposure to infections and 'who acquires infection from whom' is discussed.
Similar articles
-
Age-related changes in the rate of disease transmission: implications for the design of vaccination programmes.J Hyg (Lond). 1985 Jun;94(3):365-436. doi: 10.1017/s002217240006160x. J Hyg (Lond). 1985. PMID: 4008922 Free PMC article.
-
Rubella vaccination in India: identifying broad consequences of vaccine introduction and key knowledge gaps.Epidemiol Infect. 2018 Jan;146(1):65-77. doi: 10.1017/S0950268817002527. Epub 2017 Dec 4. Epidemiol Infect. 2018. PMID: 29198212 Free PMC article.
-
Rubella control in Papua New Guinea: age-specific immunity informs strategies for introduction of rubella vaccine.Vaccine. 2012 Dec 14;30(52):7506-12. doi: 10.1016/j.vaccine.2012.10.051. Epub 2012 Oct 25. Vaccine. 2012. PMID: 23103194
-
Epidemiology of congenital rubella and results of rubella vaccination in Australia.Rev Infect Dis. 1985 Mar-Apr;7 Suppl 1:S37-41. doi: 10.1093/clinids/7.supplement_1.s37. Rev Infect Dis. 1985. PMID: 3890106 Review.
-
Australian vaccine preventable disease epidemiological review series: rubella 2008-2012.Commun Dis Intell Q Rep. 2015 Mar 31;39(1):E19-26. doi: 10.33321/cdi.2015.39.3. Commun Dis Intell Q Rep. 2015. PMID: 26063094 Review.
Cited by
-
New coronavirus outbreak. Lessons learned from the severe acute respiratory syndrome epidemic.Epidemiol Infect. 2015 Oct;143(13):2882-93. doi: 10.1017/S095026881400377X. Epub 2015 Jan 16. Epidemiol Infect. 2015. PMID: 25591619 Free PMC article.
-
Ecological theory to enhance infectious disease control and public health policy.Front Ecol Environ. 2005 Feb 1;3(1):29-37. doi: 10.1890/1540-9295(2005)003[0029:ETTEID]2.0.CO;2. Front Ecol Environ. 2005. PMID: 19838319 Free PMC article.
-
The epidemiology of varicella-zoster virus infections: the influence of varicella on the prevalence of herpes zoster.Epidemiol Infect. 1992 Jun;108(3):513-28. doi: 10.1017/s0950268800050019. Epidemiol Infect. 1992. PMID: 1318219 Free PMC article.
-
Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections.Proc Biol Sci. 1997 Jul 22;264(1384):949-57. doi: 10.1098/rspb.1997.0131. Proc Biol Sci. 1997. PMID: 9263464 Free PMC article.
-
Modelling the effect of a booster vaccination on disease epidemiology.J Math Biol. 2006 Mar;52(3):290-306. doi: 10.1007/s00285-005-0356-0. Epub 2005 Nov 10. J Math Biol. 2006. PMID: 16283412
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical