A Flattening Curve with Extended SEIR Model–A Case Study with COVID-19

Volume 5, Issue 6, December 2020     |     PP. 124-146      |     PDF (882 K)    |     Pub. Date: December 27, 2020
DOI:    196 Downloads     6147 Views  

Author(s)

Pengdi Zhao, College of Business and Economics, Australian National University, 2601 Acton ACT, Australia
Elizabeth Chang, School of Business, University of New South Wales, Canberra @ADFA, 2612 ACT, Australia

Abstract
This paper presents the condition of COVID-19 in Australia based on the data of each state and territory. The whole population of Australia can be separated into several groups, which are Susceptible, Exposed, Infected, Recovered, Healthy and Unknown by using the extended SEIR model. According to these groups, policies that are published by Australian governments can be divided and matched with groups based on different purposes. After doing diagnostic, predictive, prescriptive analytics and text analysis to the information of the current situation, the author provided seven recommendations that may help improve the current condition of Australia and flattening the curve of total confirmed cases of COVID-19 in Australia.

Keywords
COVID-19; extended SEIR model; self-quarantine; travel restrictions

Cite this paper
Pengdi Zhao, Elizabeth Chang, A Flattening Curve with Extended SEIR Model–A Case Study with COVID-19 , SCIREA Journal of Computer. Volume 5, Issue 6, December 2020 | PP. 124-146.

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