Modelling the Optimal Schemes of Population Vaccination Using Epidemiological Data

Considered creation of a mathematical and computer model of the various infectious diseases and epidemics’ spread problem. The developed system uses an epidemiological SISV computer model. The proposed model gives an opportunity to determine the optimal individual and social costs for vaccine prophy...

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Datum:2020
Hauptverfasser: Soloviov, S., Bandurka, O.
Format: Artikel
Sprache:English
Veröffentlicht: Інститут кібернетики ім. В.М. Глушкова НАН України 2020
Schriftenreihe:Математичне та комп'ютерне моделювання. Серія: Технічні науки
Online Zugang:http://dspace.nbuv.gov.ua/handle/123456789/181474
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Modelling the Optimal Schemes of Population Vaccination Using Epidemiological Data / S. Soloviov, O. Bandurka // Математичне та комп'ютерне моделювання. Серія: Технічні науки: зб. наук. пр. — Кам’янець-Подільський: Кам'янець-Подільськ. нац. ун-т, 2019. — Вип. 20. — С. 99-103. — Бібліогр.: 3 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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Zusammenfassung:Considered creation of a mathematical and computer model of the various infectious diseases and epidemics’ spread problem. The developed system uses an epidemiological SISV computer model. The proposed model gives an opportunity to determine the optimal individual and social costs for vaccine prophylaxis The article analyses the positivity of such a model under the proposed vaccination strategy. SISV (Susceptible-Infectious-Susceptible-Vaccinated)-model, where infection does not confer immunity (or there is waning immunity) with inclusion of vaccination. The software uses epidemiological models that allow us to explore the process of spreading infectious diseases, to make a forecast for the future, to determine the effectiveness of vaccine prophylaxis, to select optimal vaccination schemes using epidemiological data. Due to the use of epidemiological models a timely prevention of infectious diseases epidemics is possible.