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conferenceseries.com
November 28-29, 2016 Valencia, Spain
4th World Congress on
Infection Prevention and Control
Volume 4, Issue 8 (Suppl) J Infect Dis Ther 2016
ISSN: 2332-0877, JIDT an open access journal Infection Control 2016
November 28-29, 2016
Veronika Szaboova et al., J Infect Dis Ther 2016, 4:8 (Suppl)
Estimation of measles susceptibility in population of Slovakia: The cohort model
Veronika Szaboova, Jana Zibolenova, Zuzana Chladna, Tibor Baska, Viera Svihrova and Henrieta Hudeckova
Comenius University, Slovakia
Recently, thanks to immunization, no cases of measles have been reported in Slovakia. Information on the immune status of
the population is important to prevent possible re-emergence of the disease. However, the last nationwide immunological
survey in Slovakia was carried out in 2002. This work estimates current (2014) measles susceptibility in individual age groups using
mathematic modeling. The analysis is based on administrative data on vaccination coverage, the immunological survey from 2002
and demographic data on age structure of the Slovak population. The cohort model considered changes since 2002: new single dose
vaccinated cohorts (born 2000-2012) and cohorts vaccinated with the second dose (born 1989-2002). In other cohorts, immunity
naturally partially waned and the proportion of cohorts with more effective post-infection immunity (naturally infected) declined.
In 2002, there were approximately 241,000 susceptible individuals (approximately 4.5% of the population) in Slovakia. Most of them,
besides children aged below one year and yet not vaccinated, were aged 17-34. In 2014, there were approximately 383,000 susceptible
individuals (approximately 7.1% of the population), mostly non-vaccinated children up to one year and adults aged 30-45 years. These
adults constituted the most prevalent susceptible cohort. The increased proportion of susceptible population is partially attributable
to natural waning of the immunity in vaccinated individuals without natural contact with the disease. Therefore, in a potential
epidemic outbreak, alongside the unvaccinated, 30-45 year old individuals (cohort born 1969-1984) will be the most endangered.
Although the mathematic modeling, due to its limitations, cannot fully substitute the immunological survey, the estimations can
sufficiently identify the endangered population cohorts to adjust the vaccination policy appropriately.
This work was supported by the Slovak Research and Development Support Agency under the Contract No. APVV-0096-12
(EPIBIOMAT).
Biography
Veronika Szaboova is affiliated to the Comenius University, Slovakia.