Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages

Wong, Jordan and Kohbalan, Moorthy (2021) Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1..

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Abstract

The Covid-19 pandemic is still ongoing around the world. This study aims to predict the reproduction number, R0 for Covid-19 to measure the infectious level of this disease to the general population. To predict the reproduction number, a prediction method using the Probability Mass function is used with the dataset for the Covid-19 disease. This result has been divided into the first wave, second wave and third wave which suggest that the R0 is increased which correlate with the new strain of Covid-19 mutation “D614G” that is more infectious compared to the first wave strain. In a nutshell, with the R0 has been predicted, a containment plan is possible to curb the disease from spreading even further to the general population.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Award, CITREX, Transmissibility prediction, Coronavirus disease (covid-19)
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Computing
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 29 Jul 2022 00:58
Last Modified: 29 Jul 2022 00:58
URI: http://umpir.ump.edu.my/id/eprint/34220
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