Zeshan Faiz1, Iftikhar Ahmed1, Dumitru Baleanu2,3,4, Shumaila Javeed1,5,6,*
CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1217-1238, 2024, DOI:10.32604/cmes.2023.029879
Abstract The purpose of this research work is to investigate the numerical solutions of the fractional dengue transmission
model (FDTM) in the presence of Wolbachia using the stochastic-based Levenberg-Marquardt neural network
(LM-NN) technique. The fractional dengue transmission model (FDTM) consists of 12 compartments. The human
population is divided into four compartments; susceptible humans (Sh), exposed humans (Eh), infectious humans
(Ih), and recovered humans (Rh). Wolbachia-infected and Wolbachia-uninfected mosquito population is also
divided into four compartments: aquatic (eggs, larvae, pupae), susceptible, exposed, and infectious. We investigated
three different cases of vertical transmission probability (η), namely when Wolbachia-free mosquitoes persist only
(η =… More >
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