Open AccessAnalytical solution and adaptation to the parameter estimation of the SIR model
Author(s) -
Sergei Ivanov
Publication year - 2020
Publication title -
vìsnik. serìâ fìziko-matematičnì nauki/vìsnik kiì̈vsʹkogo nacìonalʹnogo unìversitetu ìmenì tarasa ševčenka. serìâ fìziko-matematičnì nauki
Language(s) - English
Resource type - Journals
eISSN - 2218-2055
pISSN - 1812-5409
DOI - 10.17721/1812-5409.2020/4.6
Subject(s) - mathematics , estimation theory , ordinary differential equation , exponential function , adaptation (eye) , estimation , population , epidemic model , calculus (dental) , computer science , differential equation , statistics , mathematical analysis , physics , engineering , medicine , demography , systems engineering , dentistry , sociology , optics
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.