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ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS
Predictive models of efficacy and public health impact
of vaccination with rotavirus vaccine in Ukraine
S. A. Solovyova, J. Roseb, I. V. Dzyublyka, E. P. Trokhimenkoa a The National Medical Academy of Postgraduate Education named after P. L. Shupyk, Dept. of virology, Dorogozhytska st., 9, Kyiv, 04112, Ukraine
b Case Western Reserve University, Dept. of Family Medicine, Div. of Research, Cleveland, Ohio 44106, USA
Abstract:
There were presented the results of the computational and theoretical studies related to assessing of
an efficacy and public health impact of a vaccination with a rotavirus vaccine in Ukraine. The required indicators are:
the genotype-specific vaccine efficacy, number of the severe illness preventions, hospitalizations, outpatient visits and
deaths. The results were obtained in a form of tree of decisions based on Makrov model by using mathematical model
with computer simulation. The results showed the significant positive effect of the vaccination compared to no
vaccination, in case of high level of vaccine coverage in Ukraine.
Keywords:
rotavirus, rotavirus vaccine, vaccination, decision tree, Markov model.
Received: 21.12.2011 Revised: 02.04.2012
Citation:
S. A. Solovyov, J. Rose, I. V. Dzyublyk, E. P. Trokhimenko, “Predictive models of efficacy and public health impact
of vaccination with rotavirus vaccine in Ukraine”, Computer Research and Modeling, 4:2 (2012), 407–421
Linking options:
https://www.mathnet.ru/eng/crm498 https://www.mathnet.ru/eng/crm/v4/i2/p407
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Abstract page: | 78 | Full-text PDF : | 28 | References: | 22 |
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