Abstract
In this paper, we extend a social obesity epidemic model from a deterministic system to a stochastic differential equation by introducing white noise. We first present some preliminaries needed for later proof. Then, we demonstrate several theorems and their proofs. The existence of the global positive solution of the model is proved by using stochastic Lyapunov function. Furthermore, the solutions of model are stochastically ultimately bounded and permanent are also obtained and the sufficient condition for the existence of a unique ergodic stationary distribution is established by using Khasminskii’s theorem. Finally, the theoretical results are applied to study the target population of 24- to 65-year-old adult residents in the region of Valencia, Spain, and the influence of relevant parameters on the proportion of the three populations is further analyzed and the control strategy is explored.
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This study was funded by the National Natural Science Foundation of China(11971405) and the Fujian Provincial Natural science of China(2018J0141 8).
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Chen, Z., Li, J., Wei, C. et al. Control strategies of a stochastic social obesity epidemic model in the region of Valencia, Spain. J. Appl. Math. Comput. 69, 2059–2075 (2023). https://doi.org/10.1007/s12190-022-01754-7
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DOI: https://doi.org/10.1007/s12190-022-01754-7