Progressive dynamics of a stochastic epidemic model with logistic growth and saturated treatment

S.P. Rajasekar, M. Pitchaimani and Quanxin Zhu

Physica A: Statistical Mechanics and its Applications, 2020, vol. 538, issue C

Abstract: In this paper, a stochastic epidemic model with logistic growth and saturated treatment is formulated to probe the effect of white noise on population. We show that the proposed autonomous stochastic model possess a unique and non-negative solution. We obtain the sufficient conditions for extinction of the infectious disease and persistent in the mean of the stochastic autonomous epidemic model with probability one. That is, if ℛ0˜<1, under some parametric conditions then the infection goes to extinction with probability one and if ℛ0˜>1, under some parametric conditions then the infection persist with probability one. By using Has’minskii’s theory of periodic solutions, we show that the stochastic non-autonomous epidemic model has at least one nontrivial positive θ-periodic solution. Finally, the theoretical results are illustrated by numerical simulations which obtains some additional interesting phenomena.

Keywords: Extinction; Logistic growth; Periodic solutions; Persistence; Saturated treatment; Stochastic SIR model (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:538:y:2020:i:c:s0378437119315122

DOI: 10.1016/j.physa.2019.122649

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