Threshold behavior in a stochastic SIR epidemic model with Logistic birth
Qun Liu and
Daqing Jiang
Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, issue C
Abstract:
In this paper, we consider a stochastic SIR epidemic model with Logistic birth. By using the stochastic Lyapunov function method, we show that the stochastic basic reproduction number R0S can be used to determine the threshold dynamics of the stochastic system. If R0S>1, we establish sufficient conditions for the existence of a stationary distribution of the positive solutions to the model. While if R0S<1, under some extra conditions, we obtain sufficient conditions for extinction of the disease. Finally, some examples and numerical simulations are provided to illustrate the theoretical results.
Keywords: SIR epidemic model; Threshold; Stationary distribution; Extinction; Logistic birth (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119319478
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119319478
DOI: 10.1016/j.physa.2019.123488
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().