Project ID: 233
YUSHAIRIN BINTI YUSUF - CS247
2017669304
Supervisor: MOHD RIVAIE BIN MOHD ALI (DR)
Examiner: MOHD RIVAIE BIN MOHD ALI (DR)
ACCURACY BETWEEN RUNGE-KUTTA AND POLYNOMIAL LEAST SQUARE METHODS FOR DENGUE CASES ESTIMATION
Abstract
Dengue is a mosquito-borne viral infection and has been a big problem in Malaysia.
According to Centers for Disease Control and Prevention (CDC), dengue viruses are
spread to people through the bite of an infected Aedes spesies (Ae. Aegypti or Ae.
Albopictus) mosquito. These mosquitoes are vectors of chikungunya, Zika viruses and
yellow fever. Dengue is widespread influenced by temperature, rainfall, relative
humidity and unplanned rapid urbanization. The dengue incidence in Malaysia
continues increase year by year from 32 cases per 100,000 (2000) population to 361
cases per 100,000 population (2014). Hence, the aim of this study is to approximate
the numbers of dengue cases in 2020. Early screening, detection and treatment of
dengue among the society are recommended to reduce the long-term risk of being
rapidly spread. In this research, mathematical model has been used using Runge-
Kutta and Least Square methods in predicting the spread of dengue cases disease. The
modeling of dengue cases is important to prevent dengue fever outbreak and helping
public health officers to plan any preparation for future dengue fever.