Analytical solution and adaptation to the parameter estimation of the SIR model

Authors

  • S. M. Ivanov Taras Shevchenko National University of Kyiv

DOI:

https://doi.org/10.17721/1812-5409.2020/4.6

Abstract

The article deals with analytical solution and adaptation to the parameter estimation of the SIR model of the epidemic. By a special replacement of the exponential function by inverse proportionality, the approximate general solution of the SIR model is found. It is spoken in detail about the process of integration of ordinary differential equations of the SIR model. The equality of the sum of the obtained analytical solutions and population size is checked. The obtained solutions are simple and understandable. To parametrically estimate the SIR model, its general solution is adapted to paired linear regressions. The article is of interest for students, graduate students and scientists involved in mathematical epidemiology.

Key words: SIR model, parameter estimation, analytical solution.

Pages of the article in the issue: 40 - 43

Language of the article: Ukrainian

References

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KERMACK W.O. & MCKENDRICK A.G. (1927) Contribution to the Mathematical Theory of Epidemics. Proceedings of the Royal Statistical Society A. 115. p. 700–721. doi: https://doi.org/10.1098/rspa.1927.0118

OLI, M.K., VENKATARAMANA, M., KLEIN, P. A., WENDLAND, L. D. and BROWN, M.B. (2006) Population dynamics of infectious diseases: A discrete time model. Ecological modelling. 198. p. 183–194. doi: https://doi.org/10.1016/j.ecolmodel.2006.04.007

HARKO T., LOBO FRANCISCO S. N. and MAK M. K. (2014) Exact analytical solutions of the Susceptible-Infected-Recovered (SIR) epidemic model and of the SIR model with equal death and birth rates. Applied Mathematics and Computation. 236. p. 184-194.

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How to Cite

Ivanov, S. M. (2020). Analytical solution and adaptation to the parameter estimation of the SIR model. Bulletin of Taras Shevchenko National University of Kyiv. Physical and Mathematical Sciences, (4), 40–43. https://doi.org/10.17721/1812-5409.2020/4.6

Issue

Section

Computer Science and Informatics