Predictive models of efficacy and public health impact of vaccination with rotavirus vaccine in Ukraine

Solovyov S.A., Rose J., Dzyublyk I.V., Trokhimenko E.P.
 pdf (349K)  / List of references

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
Citation in English: Solovyov S.A., Rose J., Dzyublyk I.V., Trokhimenko E.P. Predictive models of efficacy and public health impact of vaccination with rotavirus vaccine in Ukraine // Computer Research and Modeling, 2012, vol. 4, no. 2, pp. 407-421
Citation in English: Solovyov S.A., Rose J., Dzyublyk I.V., Trokhimenko E.P. Predictive models of efficacy and public health impact of vaccination with rotavirus vaccine in Ukraine // Computer Research and Modeling, 2012, vol. 4, no. 2, pp. 407-421
DOI: 10.20537/2076-7633-2012-4-2-407-421
URL: http://crm-en.ics.org.ru/journal/article/1899/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
Views (last year): 2.

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

International Interdisciplinary Conference "Mathematics. Computing. Education"

Copyright © 2009–2024 Institute of Computer Science