2014
DOI: 10.1016/j.amc.2014.03.030
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Exact analytical solutions of the Susceptible-Infected-Recovered (SIR) epidemic model and of the SIR model with equal death and birth rates

Abstract: In this paper, the exact analytical solution of the Susceptible-Infected-Recovered (SIR) epidemic model is obtained in a parametric form. By using the exact solution we investigate some explicit models corresponding to fixed values of the parameters, and show that the numerical solution reproduces exactly the analytical solution. We also show that the generalization of the SIR model, including births and deaths, described by a nonlinear system of differential equations, can be reduced to an Abel type equation.… Show more

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Cited by 430 publications
(403 citation statements)
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“…The SIR model is a cornerstone model in epidemic spreading modeling where each individual in a population can be in one of three different compartments. There are extensive studies on the epidemic spreading in networks based on the SIR model [7][8][9][10].…”
mentioning
confidence: 99%
“…The SIR model is a cornerstone model in epidemic spreading modeling where each individual in a population can be in one of three different compartments. There are extensive studies on the epidemic spreading in networks based on the SIR model [7][8][9][10].…”
mentioning
confidence: 99%
“…[8] where the solutions of some DREs are obtained prescribing specific links between the coefficients appearing in the nonlinear differential equation. In addition we observe that the point of view reported in this paper may be reversed, meaning that, in principle, the knowledge of the general integral of a DRE could be exploited to individuate and solve SU(2) quantum dynamical problems.…”
Section: Conclusive Remarksmentioning
confidence: 99%
“…Theoretically investigating the properties of systems in different contexts [1,2,3], such as for example classical and quantum physics [4,5,6,7,8,9,10,11,12,13,14,15,16], mathematics [17,18,19,20,21,22,23,24,25], biology [26,27], one is led to the consideration of the following non-linear non-autonomous first order differential equation…”
Section: Introductionmentioning
confidence: 99%
“…Since that time, theoretical epidemiology has witness numerous developments. Some of the recent studies can be found in (Liu and Chen 2015, Harko et al 2014).…”
Section: Influenza Diffusion Analysismentioning
confidence: 99%