Comments on “The Solution of a Mathematical Model for Dengue Fever Transmission Using Differential Transformation Method: J. Nig. Soc. Phys. Sci. 1 (2019) 82-87”
Keywords:
SIR model, Differential Transformation Method (DTM), Dengue Fever, TreatmentAbstract
The mathematical model for dengue fever transmission studied by [1], has been re-investigated. The differential transformation method (DTM) is used to compute the semi-analytical solutions of the non-linear differential equations of the compartment (SIR) model of dengue fever. This epidemiology problem is well-posed. The effect of treatment as a control measure is studied through the growth equations of exposed and infected humans. The inadvertent errors in the recurrence relations (DTM) of equations for dengue disease transmission including initial conditions have been removed. Furthermore, the semi-analytic solutions of the model are obtained and verified with the built-in function AsymptoticDSolveValue of Wolfram Mathematica. It has been found that results obtained from the DTM are valid only for small-time t (t < 1.5), as t becomes large, the human population (exposed and recovered) and infected vector population become negative.
Published
How to Cite
Issue
Section
Copyright (c) 2021 Journal of the Nigerian Society of Physical Sciences

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Oludare Adedire, J. N. Ndam, Mathematical modelling of concentration profiles for species transport through the single and the interconnected multiple-compartment systems , Journal of the Nigerian Society of Physical Sciences: Volume 2, Issue 2, May 2020
- Osita Miracle Nwakeze, Naveed Uddin Mohammed, Obaze Caleb Akachukwu, Umerah Anthony Tochukwu, Oji Nkechi Blessing, Ibeh Sylvarine Chinasa, Odeh Christopher, Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 3, August 2026 (In Progress)
- Akila Dabara Kayit, Mohd Tahir Ismail, Novel way to predict stock movements using multiple models and comprehensive analysis: leveraging voting meta-ensemble techniques , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- A. B Yusuf, R. M Dima, S. K Aina, Optimized Breast Cancer Classification using Feature Selection and Outliers Detection , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 4, November 2021
- Majid Khan Bin Majahar Ali, Shahida Shahnawaz, An inverse physics-informed neural network (I-PINN) framework for parameter estimation in mixed convection and melting effects , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 2, May 2026
- Augustine Igwebuike Anya, Uko Ofe, Aftab Khan, Mathematical Modeling of Waves in a Porous Micropolar Fibrereinforced Structure and Liquid Interface , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
- Abdulhameed Ado Osi, Sani Ibrahim Doguwa, Abubakar Yahaya, Yahaya Zakari, Abubakar Usman, Transmuted cosine Topp-Leone G family of distributions: properties and applications , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024
- Baba Alfa, Yakubu Adamu, Daniel Alberto Pena Perez, Optimal Power Point on the I-V Curve of a Photovoltaic Solar System (Modelling and Analysis) , Journal of the Nigerian Society of Physical Sciences: Volume 2, Issue 2, May 2020
- Nahid Salma, Majid Khan Majahar Ali, Raja Aqib Shamim, Machine learning-based feature selection for ultra-high-dimensional survival data: a computational approach , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 3, August 2025
- C. A. Onate, I. B. Okon, J. A. Akinpelu, O. O. Ajani, O. A. Adedewe, B. B. Deji-Jinadu, Shannon entropy and thermodynamic properties of an inversely quadratic Yukawa potential model , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024
You may also start an advanced similarity search for this article.

