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Model of Epidemic Kinetics with a Source on the Example of Moscow.
- Source :
-
Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Feb 18; Vol. 2022, pp. 6145242. Date of Electronic Publication: 2022 Feb 18 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- A new theoretical model of epidemic kinetics is considered, which uses elements of the physical model of the kinetics of the atomic level populations of an active laser medium as follows: a description of states and their populations, transition rates between states, an integral operator, and a source of influence. It is shown that to describe a long-term epidemic, it is necessary to use the concept of the source of infection. With a model constant source of infection, the epidemic, in terms of the number of actively infected people, goes to a stationary regime, which does not depend on the population size and the characteristics of quarantine measures. Statistics for Moscow daily increase in infected is used to determine the real source of infection. An interpretation of the waves generated by the source is given. It is shown that more accurate statistics of excess mortality can only be used to clarify the frequency rate of mortality of the epidemic, but not to determine the source of infection.<br />Competing Interests: The authors Andrey V Borovskiy and Andrey L Galkin declare that they have no conflict of interests.<br /> (Copyright © 2022 Andrey V. Borovsky and Andrey L. Galkin.)
- Subjects :
- Basic Reproduction Number statistics & numerical data
COVID-19 epidemiology
COVID-19 mortality
Communicable Diseases epidemiology
Communicable Diseases mortality
Computational Biology
Disease Outbreaks statistics & numerical data
Humans
Kinetics
Moscow epidemiology
Pandemics statistics & numerical data
SARS-CoV-2
Vaccination statistics & numerical data
Epidemics statistics & numerical data
Epidemiological Models
Subjects
Details
- Language :
- English
- ISSN :
- 1748-6718
- Volume :
- 2022
- Database :
- MEDLINE
- Journal :
- Computational and mathematical methods in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 35222685
- Full Text :
- https://doi.org/10.1155/2022/6145242