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Sibirskie Èlektronnye Matematicheskie Izvestiya [Siberian Electronic Mathematical Reports], 2024, Volume 21, Issue 1, Pages 125–163
DOI: https://doi.org/doi.org/10.33048/semi.2024.21.010
(Mi semr1673)
 

Computational mathematics

Concept controlling model for arresting epidemics, including COVID-19

G. D. Kaminskiyab, Yu. I. Prostova, D. A. Semenovaa, M. Yu. Prostova, N. N. Pimenova, E. I. Veselovaa, A. S. Vinokurova, E. V. Karamovca, A. E. Panovaa, A. S. Turgievca, V. V. Chernetsovad, A. E. Lomovtseve

a National Medical Research Center of Phthisiopulmonology and Infectious Diseases of the Ministry of Health of the Russian Federation, Dostoevsky St., house 4, building 2 127473, Moscow, Russia
b State Health Organization Tula Regional Center for Control and Prevention of AIDS and Infectious Diseases, Drejera embankment, house 14, 300002, Tula, Russia
c Federal State Budgetary Institution National Research Centre for Epidemiology and Microbiology named after the Honorary Academician N. F. Gamaleya of the Ministry of Health of the Russian Federation, Gamalei str., house 18, 123098, Moscow, Russia
d National Research University Moscow Power Engineering Institute, Krasnokazarmennaya str., house 17, building 3 111250, Moscow, Russia
e The Department of Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing for Tula Region, Oboronnaya str., house 114, 300045, Tula, Russia
Abstract: Concept controlling model for arresting epidemics (further on - the model) of emerging, new and re-emerging infections has been developed. Epidemic force parameters are defined: high values of contact rate of infection in acute ($ R_1 $) and chronic ($ R_2 $) forms of disease, high frequency of chronization $\gamma_2 $ with pathogen excretion, high rate of loss of natural immunity $ k_1 $, high inflow of susceptible population $\mu $. Control targets have been identified: infected persons (detection, isolation and treatment $\delta $), transmission mechanism (regime-restrictive measures, sanitary and hygienic procedures $ r $), the decrease in susceptibility (vaccination, pre- and post-exposure prophylaxis $\lambda $). Critical interdependencies between epidemic force parameters and control coefficients were studied. We obtained threshold conditions for "zero infection" asymptotic stability. In order to achieve the target result more quickly, the use of "supercritical" control levels is proposed, with the model determining the time to achieve the result. The need to affect both acute and chronic forms of infection has been proven. The model allows to solve direct and inverse problems.
Keywords: control of communicable diseases, threshold, intervention campaign, parameters of the epidemic process, mathematical model.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation 075-11-2020-011 (13.1902.21.0040)
This work was carried out with the financial support of the Ministry of Education and Science of the Russian Federation: grant No. 075-11-2020-011 (13.1902.21.0040).
Received November 29, 2022, published February 28, 2024
Document Type: Article
UDC: 519.174.7
MSC: 05C50
Language: English
Citation: G. D. Kaminskiy, Yu. I. Prostov, D. A. Semenova, M. Yu. Prostov, N. N. Pimenov, E. I. Veselova, A. S. Vinokurov, E. V. Karamov, A. E. Panova, A. S. Turgiev, V. V. Chernetsova, A. E. Lomovtsev, “Concept controlling model for arresting epidemics, including COVID-19”, Sib. Èlektron. Mat. Izv., 21:1 (2024), 125–163
Citation in format AMSBIB
\Bibitem{KamProSem24}
\by G.~D.~Kaminskiy, Yu.~I.~Prostov, D.~A.~Semenova, M.~Yu.~Prostov, N.~N.~Pimenov, E.~I.~Veselova, A.~S.~Vinokurov, E.~V.~Karamov, A.~E.~Panova, A.~S.~Turgiev, V.~V.~Chernetsova, A.~E.~Lomovtsev
\paper Concept controlling model for arresting epidemics, including COVID-19
\jour Sib. \`Elektron. Mat. Izv.
\yr 2024
\vol 21
\issue 1
\pages 125--163
\mathnet{http://mi.mathnet.ru/semr1673}
\crossref{https://doi.org/doi.org/10.33048/semi.2024.21.010}
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