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Abstract In this manuscript, we consider a two-strain SIR epidemic model with two non-monotonic transmission processes, moving from a deterministic to a stochastic differential framework with noise incorporated into the incidence functions. Within the stochastic regime, we identify two stochastic critical thresholds that dictate the dynamics of the disease, steering it towards either extinction or persistence in mean over time. We establish the existence of a unique positive solution using stochastic Lyapunov functions and corroborate our theoretical findings with numerical simulations, providing a concise yet comprehensive insight into the complex disease dynamics under stochastic influences.
Bentaleb et al. (Mon,) studied this question.
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