COMPARISON OF RUNGE KUTTA EULERS AND LINEAR LEAST

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

COMPARISON OF RUNGE KUTTA, EULER'S AND LINEAR LEAST SQUARE METHODS IN PREDICTING DENGUE FEVER CASES Prepared by : Nor Eliana Amira binti Zulkifli (2017696348) Supervisor : Puan Zamzulani binti Mohamed

01 Introduction 04 Literature Review 02 Problem Statement 05 Methodology 03 Objectives 06 Result

01 Introduction 04 Literature Review 02 Problem Statement 05 Methodology 03 Objectives 06 Result &Discussion 07 Conclusion &Recommendation

INTRODUCTION - Dengue fever cases reached an all time yet the number of dengue

INTRODUCTION - Dengue fever cases reached an all time yet the number of dengue cases is inconsistent. - Important to estimate how many new people, on average, each person with the disease will go on to infect. - Influenced by many factors such as mean temperature, daily rainfall and enhanced vegetation index as the environmental factors.

PROBLEM STATEMENT Dengue is a mosquitoborne tropical disease that has increasing rapidly in all

PROBLEM STATEMENT Dengue is a mosquitoborne tropical disease that has increasing rapidly in all regions recently. Need to solve by predicting the dengue cases. Public health authorities can monitor and handle this disease effectively.

OBJECTIVES To analyze the number of dengue cases by using the Euler’s, Linear Least

OBJECTIVES To analyze the number of dengue cases by using the Euler’s, Linear Least Square and Runge Kutta method. To get the best method for dengue prediction by calculating the error. To predict the dengue cases in year 2020.

LITERATURE REVIEW • Dengue fever was first reported in Malaysia in 1902 and dengue

LITERATURE REVIEW • Dengue fever was first reported in Malaysia in 1902 and dengue haemorrhagic fever in 1962. • Up to the end of September 2005, 29, 196 of dengue cases have been notified with 76 deaths. • A research by, Miah and Hossain that used a numerical study to predict the evolution of yellow fever diseases. • Previous study by Shinil Cho used numerical method for projectile motion by using Euler’s Method.

METHODOLOGY

METHODOLOGY

RESULT & DISCUSSION Runge Kutta method – the estimation of year 2020 is 172841

RESULT & DISCUSSION Runge Kutta method – the estimation of year 2020 is 172841 cases. Euler’s method- the estimation of year 2020 is 164505 cases. Linear Least Square method - the estimation of year 2020 is 106098 cases.

• CONCLUSION& RECOMMENDATION Runge Kutta method is better than Euler’s and Linear Least

• CONCLUSION& RECOMMENDATION Runge Kutta method is better than Euler’s and Linear Least Square method since it performs the smallest error. • Number of dengue cases for upcoming years are predicted. • The data of dengue cases for upcoming years can be predict by applying this three methods. • Other than dengue cases, a new researcher can use this method for the other diseases prediction in future.

THANK YOU

THANK YOU

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