Yu-Ming Chu1, Sobia Sultana2, Saima Rashid3,*, Mohammed Shaaf Alharthi4
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2427-2464, 2023, DOI:10.32604/cmes.2023.028771
Abstract Various data sets showing the prevalence of numerous viral diseases have demonstrated that the transmission is
not truly homogeneous. Two examples are the spread of Spanish flu and COVID-19. The aim of this research is to
develop a comprehensive nonlinear stochastic model having six cohorts relying on ordinary differential equations
via piecewise fractional differential operators. Firstly, the strength number of the deterministic case is carried out.
Then, for the stochastic model, we show that there is a critical number 
that can predict virus persistence
and infection eradication. Because of the peculiarity of this notion, an interesting way… More >
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