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Mathematical Modelling and Analysis of Dengue Transmission in Bangladesh with Saturated Incidence Rate and Constant Treatment Function
Author(s) -
A. K. Chakraborty,
Mohaiminul Haque,
Mirajul Islam
Publication year - 2021
Publication title -
communication in biomathematical sciences
Language(s) - English
Resource type - Journals
ISSN - 2549-2896
DOI - 10.5614/cbms.2020.3.2.2
Subject(s) - basic reproduction number , dengue fever , jacobian matrix and determinant , lyapunov function , stability (learning theory) , mathematics , population , stability theory , constant (computer programming) , equilibrium point , transmission (telecommunications) , statistics , control theory (sociology) , computer science , biology , medicine , nonlinear system , mathematical analysis , physics , differential equation , environmental health , virology , telecommunications , quantum mechanics , machine learning , programming language , control (management) , artificial intelligence
Dengue is one of the major health problems in Bangladesh and many people are died in recent years due to the severity of this disease. Therefore, in this paper, a SIRS model for the human and SI model for vector population with saturated incidence rate and constant treatment function has been presented to describe the transmission of dengue. The equilibrium points and the basic reproduction number have been computed. The conditions which lead the disease free equilibrium and the endemic equilibrium have been determined. The local stability for the equilibrium points has been established based on the eigenvalues of the Jacobian matrix and the global stability has been analyzed by using the Lyapunov function theory. It is found that the stability of equilibrium points can be controlled by the reproduction number. In order to calculate the infection rate, data for infected human populations have been collected from several health institutions of Bangladesh. Numerical simulations of various compartments have been generated using MATLAB to investigate the influence of the key parameters for the transmission of the disease and to support the analytical results. The effect of treatment function over the infected compartment has been illustrated. The sensitivity of the reproduction number concerning the parameters of the model has been analyzed. Finally, the most sensitive parameter that has the highest effect over reproduction number has been identified.

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