Technical report: solving the SIRC model of the Influenza A by using Forth Order Runge Kutta method / Azida Shaharuddin, Nurul Aisyah Haja Muhaiadin and Suhaifaniza Fasya Saiful Anuar

Shaharuddin, Azida and Haja Muhaiadin, Nurul Aisyah and Saiful Anuar, Suhaifaniza Fasya (2016) Technical report: solving the SIRC model of the Influenza A by using Forth Order Runge Kutta method / Azida Shaharuddin, Nurul Aisyah Haja Muhaiadin and Suhaifaniza Fasya Saiful Anuar. [Student Project] (Unpublished)

Abstract

The best mathematical model to explain H1N1 disease is SIRC model which is in the form of system of Ordinary Differential Equation (ODE). Parameters used in the ordinary differential equation (ODE) are different as the surrounding of H1N1 are different. Hence, the accuracy of SIRC model depends on parameters. The main objective of this project is to solve the mathe­matical model for H1N1 in order to calculate population and to observe the trend of solutions if different parameters are used. Rungge-Kutta method is applied in solving the system of ordi­nary differential equations SIRC model since previous studies proved that there is no analytical solution for the SIRC model. For the conclusion of this project, the best SIRC model with the most appropriate parameters is identified.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Shaharuddin, Azida
2014808316
Haja Muhaiadin, Nurul Aisyah
2014250292
Saiful Anuar, Suhaifaniza Fasya
2014438846
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Wan Ramli, Wan Khairiyah
UNSPECIFIED
Advisor
Fauzi, Farahanie
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Study and teaching
Q Science > QA Mathematics > Equations
Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Wavelets (Mathematics)
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Programme: Mathematics Project (MAT660)
Keywords: H1N1 disease, SIRC model, ordinary differential equation (ODE), accuracy, study
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/110576
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