Technical report: prediction for progression of river blindness by using SIR model / Siti Khadijah Hamiri and Donna Ak Langgar

Hamiri, Siti Khadijah and Ak Langgar, Donna (2018) Technical report: prediction for progression of river blindness by using SIR model / Siti Khadijah Hamiri and Donna Ak Langgar. [Student Project] (Unpublished)

Abstract

River blindness disease become a major problem in Northern Nigeria, Africa especially in a rural agricultural located nearby river's edge. The population is at higher risk infected for very close to the breeding site of black fly or known as Simulium damnosum. The infected black fly caused the transmission of parasite to human body. This study focused on solving the River Blindness disease using SIR model with vital dynamic. Solving the ordinary differential equation (ODE) by using steady state theorem to identify the change percentage of susceptible, infected and recovery for the population in Northern Nigeria, Africa in a time period. The initial percentage of susceptible is 0.65 of the population, but only 0.01 of the susceptible individuals are infected to the disease and O of them are recovered. The progression of the disease after 90 days is predicted using Euler Method in Matlab.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Hamiri, Siti Khadijah
2014780873
Ak Langgar, Donna
2014334475
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Wan Yusoff, Wan Roslini
UNSPECIFIED
Advisor
Abdul Manaf, Zati Iwani
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Study and teaching
Q Science > QA Mathematics > Algebra
Q Science > QA Mathematics > Analysis
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Programme: Mathematics Project (MAT660)
Keywords: SIR model, MATLAB, river blindness disease, Simulium damnosum
Date: 2018
URI: https://ir.uitm.edu.my/id/eprint/110270
Edit Item
Edit Item

Download

[thumbnail of 110270.pdf] Text
110270.pdf

Download (151kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

110270

Indexing

Statistic

Statistic details