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Updated: Jul 10, 2026

A Murine Model of Dengue Virus-induced Acute Viral Encephalitis-like Disease
Published on: April 28, 2019
Optimal control strategies and parameter estimation with a time delay dengue model using Penang Hospital data
Shah Zeb1, Siti Ainor Mohd Yatim2,3, Daniyal-Ur Rehman4
1School of Distance Education, Universiti Sains Malaysia, 11800, Minden, Malaysia.
This study introduces a mathematical model for dengue transmission in Malaysia, incorporating human and mosquito incubation periods. Findings highlight eco-friendly strategies for dengue control without eliminating mosquito populations.
Area of Science:
- Epidemiology
- Mathematical Biology
- Public Health
Background:
- Dengue fever is a significant mosquito-borne viral disease in tropical regions like Malaysia.
- Year-round transmission, lack of specific treatments, and expanding mosquito ranges pose a global health challenge.
- Effective control strategies are crucial for mitigating dengue's impact.
Purpose of the Study:
- To develop and analyze a mathematical model for dengue transmission dynamics.
- To incorporate biologically relevant time delays: human intrinsic incubation period (IIP) and vector extrinsic incubation period (EIP).
- To evaluate the impact of these delays on dengue spread and to propose control strategies.
Main Methods:
- Development of a time-delay SEITR-SEI mathematical model.
- Analysis of model equilibria, basic reproduction number, and stability.
- Parameter estimation using real hospital data from Penang General Hospital (2022-2023) via the least squares method.
- Numerical simulation using the nonstandard finite difference (NSFD) scheme and sensitivity analysis.
Main Results:
- The dengue-free equilibrium is stable when the basic reproduction number is less than one.
- The extrinsic incubation period (EIP) delay suppresses transmission while maintaining mosquito populations.
- NSFD scheme demonstrated superior numerical stability and dynamic consistency compared to the Euler method.
- Sensitivity analysis identified key parameters influencing dengue transmission in Penang.
Conclusions:
- Mathematical modeling with biologically motivated delays provides insights into dengue dynamics.
- Eco-friendly and sustainable control strategies are effective in limiting dengue transmission without eradicating mosquito vectors.
- The study offers theoretical insights and practical guidance for dengue control policies in Malaysia.
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