A Mathematical Model Analysis of Meningitis with Treatment and Vaccination in Fractional Derivatives

In this paper, we develop a new mathematical model based on the Atangana Baleanu Caputo (ABC) derivative to investigate meningitis dynamics. We explain why fractional calculus is useful for modeling real-world problems. The model contains all of the possible interactions that cause disease to spread...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of applied and computational mathematics Vol. 8; no. 3
Main Authors Peter, Olumuyiwa James, Yusuf, Abdullahi, Ojo, Mayowa M., Kumar, Sumit, Kumari, Nitu, Oguntolu, Festus Abiodun
Format Journal Article
LanguageEnglish
Published New Delhi Springer India 01.06.2022
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In this paper, we develop a new mathematical model based on the Atangana Baleanu Caputo (ABC) derivative to investigate meningitis dynamics. We explain why fractional calculus is useful for modeling real-world problems. The model contains all of the possible interactions that cause disease to spread in the population. We start with classical differential equations and extended them into fractional-order using ABC. Both local and global asymptotic stability conditions for meningitis-free and endemic equilibria are determined. It is shown that the model undergoes backward bifurcation, where the locally stable disease-free equilibrium coexists with an endemic equilibrium. We also find conditions under which the model’s disease-free equilibrium is globally asymptotically stable. The approach of fractional order calculus is quite new for such a biological phenomenon. The effects of vaccination and treatment on transmission dynamics of meningitis are examined. These findings are based on various fractional parameter values and serve as a control parameter for identifying important disease-control techniques. Finally, the acquired results are graphically displayed to support our findings.
ISSN:2349-5103
2199-5796
DOI:10.1007/s40819-022-01317-1