Stability of an SAIRS alcoholism model on scale-free networks

Hong Xiang, Ying-Ping Liu and Hai-Feng Huo

Physica A: Statistical Mechanics and its Applications, 2017, vol. 473, issue C, 276-292

Abstract: A new SAIRS alcoholism model with birth and death on complex heterogeneous networks is proposed. The total population of our model is partitioned into four compartments: the susceptible individual, the light problem alcoholic, the heavy problem alcoholic and the recovered individual. The spread of alcoholism threshold R0 is calculated by the next generation matrix method. When R0<1, the alcohol free equilibrium is globally asymptotically stable, then the alcoholics will disappear. When R0>1, the alcoholism equilibrium is global attractivity, then the number of alcoholics will remain stable and alcoholism will become endemic. Furthermore, the modified SAIRS alcoholism model on weighted contact network is introduced. Dynamical behavior of the modified model is also studied. Numerical simulations are also presented to verify and extend theoretical results. Our results show that it is very important to treat alcoholics to control the spread of the alcoholism.

Keywords: Alcoholism; Scale-free networks; Equilibrium; Stability; Global attractivity (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:473:y:2017:i:c:p:276-292

DOI: 10.1016/j.physa.2017.01.012

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