Bio-Inspired Modelling of Disease Through Delayed Strategies
Date
2022
Authors
Nasir, Arooj
Baleanu, Dumitru
Raza, Ali
Anwar, Pervez
Ahmed, Nauman
Rafiq, Muhammad
Cheema, Tahir Nawaz
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Abstract
In 2020, the reported cases were 0.12 million in the six regions to the official report of the World Health Organization (WHO). For most children infected with leprosy, 0.008629 million cases were detected under fifteen. The total infected ratio of the children population is approximately 4.4 million. Due to the COVID-19 pandemic, the awareness programs implementation has been disturbed. Leprosy disease still has a threat and puts people in danger. Nonlinear delayed modeling is critical in various allied sciences, including computational biology, computational chemistry, computational physics, and computational economics, to name a few. The time delay effect in treating leprosy delayed epidemic model is investigated. The whole population is divided into four groups: those who are susceptible, those who have been exposed, those who have been infected, and those who have been vaccinated. The local and global stability of well-known conclusions like the Routh Hurwitz criterion and the Lyapunov function has been proven. The parameters’ sensitivity is also examined. The analytical analysis is supported by computer results that are presented in a variety of ways. The proposed approach in this paper preserves equilibrium points and their stabilities, the existence and uniqueness of solutions, and the computational ease of implementation.
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Keywords
Computer Results, Delayed Model, Leprosy Disease, Stability Analysis
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Citation
Nasir, Arooj;...et.al. (2022). "Bio-Inspired Modelling of Disease Through Delayed Strategies", Computers, Materials and Continua, Vol.73, No.3, pp.5717-5734.
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Source
Computers, Materials and Continua
Volume
73
Issue
3
Start Page
5717
End Page
5734