COMMAX 2020 UiTM Kampus Kuala Terengganu

Project ID: 236

NOR ELIANA AMIRA BINTI ZULKIFLI - CS247

2017696348

Supervisor: MOHD RIVAIE BIN MOHD ALI (DR)

Examiner: MOHD RIVAIE BIN MOHD ALI (DR)

COMPARISON OF RUNGE KUTTA, EULER'S AND LINEAR LEAST SQUARE METHODS IN PREDICTING DENGUE FEVER CASES

Abstract

For decades, Dengue fever cases in Malaysia reached an all time. The number of dengue
cases in Malaysia within a year is inconsistent. However, predicting how an outbreak
will progress once it has started remains difficult. For any infectious disease, it is
important to estimate how many new people, on average, each person with the disease
will go on to infect. It will be very helpful if the public health authorities can monitor
and predict the number of dengue cases. So, it will be easier for them to control and
handle the number of dengue cases in future. If the dengue cases are still increasing,
some solutions and strategies are needed to overcome this problem.


The objective of this research is to predict and analyses the data of dengue cases in
Malaysia by using Runge-Kutta, Euler’s and Linear Least Square method. The data will
be collected from year 2000 to 2019.The higher accuracy of the result will be defined
by calculating the numerical method and compared with the original data. Throughout
this project, it will help the researchers to apply the best method to predict the dengue
cases for the following years.