Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani

COVID-19 is one of the pandemics that occurred in most countries in the world, including Malaysia. It is crucial that the mathematical model analysis will be made to analyse the trend of COVID-19 cases so that we can take necessary actions to prevent the excessive increasing trends of COVID-19 cases...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohamad Dani, Mohamad Faris
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Difference equations Functional equations Delay differential equations Integral equations
Online Access:	https://ir.uitm.edu.my/id/eprint/96662/1/96662.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.96662
record_format	uketd_dc
spelling	my-uitm-ir.966622024-06-10T08:05:08Z Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani 2023 Mohamad Dani, Mohamad Faris Difference equations. Functional equations. Delay differential equations. Integral equations COVID-19 is one of the pandemics that occurred in most countries in the world, including Malaysia. It is crucial that the mathematical model analysis will be made to analyse the trend of COVID-19 cases so that we can take necessary actions to prevent the excessive increasing trends of COVID-19 cases. In this study, two of the mathematical models that being used in this study is logistic growth model and Gompertz growth model. Past research also shows how they implemented these models in their analysis. The research step starting from data collection to result and discussion to and conclude the best model in this study. The data that being collected from official websites of Ministry of Health Malaysia about monthly cumulative total cases of COVID-19 cases in Malaysia starting from March 2020 to September 2023 will be analysed using these two models, logistic model and Gompertz model. After that, the results after calculation using logistic and Gompertz model presented in the graph to see its behaviour and we saw that the difference in total case trends between actual data and predicted Gompertz model are smaller compared to logistic model. Based on the graph and error analysis, we concluded that the best model that can be used for predicting COVID-19 cases in Malaysia is Gompertz model. 2023 Thesis https://ir.uitm.edu.my/id/eprint/96662/ https://ir.uitm.edu.my/id/eprint/96662/1/96662.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Ramli, Roslina
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ramli, Roslina
topic	Difference equations Functional equations Delay differential equations Integral equations
spellingShingle	Difference equations Functional equations Delay differential equations Integral equations Mohamad Dani, Mohamad Faris Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani
description	COVID-19 is one of the pandemics that occurred in most countries in the world, including Malaysia. It is crucial that the mathematical model analysis will be made to analyse the trend of COVID-19 cases so that we can take necessary actions to prevent the excessive increasing trends of COVID-19 cases. In this study, two of the mathematical models that being used in this study is logistic growth model and Gompertz growth model. Past research also shows how they implemented these models in their analysis. The research step starting from data collection to result and discussion to and conclude the best model in this study. The data that being collected from official websites of Ministry of Health Malaysia about monthly cumulative total cases of COVID-19 cases in Malaysia starting from March 2020 to September 2023 will be analysed using these two models, logistic model and Gompertz model. After that, the results after calculation using logistic and Gompertz model presented in the graph to see its behaviour and we saw that the difference in total case trends between actual data and predicted Gompertz model are smaller compared to logistic model. Based on the graph and error analysis, we concluded that the best model that can be used for predicting COVID-19 cases in Malaysia is Gompertz model.
format	Thesis
qualification_level	Bachelor degree
author	Mohamad Dani, Mohamad Faris
author_facet	Mohamad Dani, Mohamad Faris
author_sort	Mohamad Dani, Mohamad Faris
title	Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani
title_short	Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani
title_full	Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani
title_fullStr	Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani
title_full_unstemmed	Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani
title_sort	comparison between logistic and gompertz model to analyse covid-19 cases in malaysia / mohamad faris mohamad dani
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/96662/1/96662.pdf
_version_	1804890002026397696

Comparison between logistic and Gompertz model to analyse COVID-19 cases in Malaysia / Mohamad Faris Mohamad Dani

Similar Items