##### J. R. M. Borhan

Work place: Department of Mathematics, Jashore University of Science and Technology, Jashore-7408, Bangladesh

E-mail: jrm.borhan@just.edu.bd

Website:

Research Interests: Numerical Analysis, Mathematical Software

Biography

J. R. M. Borhan achieved his B. Sc. (Hons’) and M. Sc. in Mathematics from University of Rajshahi, Bangladesh. Right now, he is on the job as a lecturer in the Department of Mathematics, Jashore University of Science and Technology, Jashore-7408, Bangladesh. His research interests are Numerical Analysis, Nonlinear Science, Fluid Dynamics, Mathematical Physics, Bio-Mathematics, Lie Algebra and Lie Group, Topology and Its Application. Email: jrm.borhan@just.edu.bd.

##### Application of Mathematical Modeling: A Mathematical Model for Dengue Disease in Bangladesh

DOI: https://doi.org/10.5815/ijmsc.2024.01.03, Pub. Date: 8 Feb. 2024

A virus spread by mosquitoes called dengue fever affects millions of people each year and is a serious threat to world health. More than 140 nations are affected by the illness of dengue fever. Therefore, in this paper, a Susceptible-Infectious-Recovered (SIR) mathematical model for the host (human) and vector (dengue mosquitoes) has been presented to describe the transmission of dengue in Bangladesh. In the model the vector are related with two compartments that are susceptible and infective and host are related with three compartments that are susceptible, infective, and recovered. By these five compartments, five connected nonlinear ordinary differential equations (ODEs) are produced. As a result of non dimensionalization, a system of three nonlinear ODEs has been generated. The reproductive number and equilibrium points have been estimated for different cases. In order to compute the infection rate, data for infected human populations have been gathered from multiple health institutes in Bangladesh. MATLAB has been utilized to construct numerical simulations of different compartments in order to examine the impact of critical parameters on the disease’s propagation and to bolster the analytical findings. The simulated outcomes for susceptible, infected, and eliminated in graphical formats have been displayed. The paper’s main goal is to emphasize the uniqueness of computational analysis of the SIR mathematical model for the dengue fever.