Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.

Sharif, O; Islam, MR; Hasan, MZ; Kabir, MA; Hasan, ME; AlQahtani, SA; Xu, G

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.

Sharif, O Islam, MR Hasan, MZ Kabir, MA Hasan, ME AlQahtani, SA Xu, G

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: J Healthc Inform Res, 2021, pp. 1-19
Issue Date:: 2021-09-16

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Field	Value	Language
dc.contributor.author	Sharif, O
dc.contributor.author	Islam, MR
dc.contributor.author	Hasan, MZ
dc.contributor.author	Kabir, MA
dc.contributor.author	Hasan, ME
dc.contributor.author	AlQahtani, SA
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663
dc.date.accessioned	2022-01-19T00:03:43Z
dc.date.available	2021-08-26
dc.date.available	2022-01-19T00:03:43Z
dc.date.issued	2021-09-16
dc.identifier.citation	J Healthc Inform Res, 2021, pp. 1-19
dc.identifier.issn	2509-4971
dc.identifier.issn	2509-498X
dc.identifier.uri	http://hdl.handle.net/10453/153312
dc.description.abstract	The aim of this study is to analyse the coronavirus disease 2019 (COVID-19) outbreak in Bangladesh. This study investigates the impact of demographic variables on the spread of COVID-19 as well as tries to forecast the COVID-19 infected numbers. First of all, this study uses Fisher's Exact test to investigate the association between the infected groups of COVID-19 and demographical variables. Second, it exploits the ANOVA test to examine significant difference in the mean infected number of COVID-19 cases across the population density, literacy rate, and regions/divisions in Bangladesh. Third, this research predicts the number of infected cases in the epidemic peak region of Bangladesh for the year 2021. As a result, from the Fisher's Exact test, we find a very strong significant association between the population density groups and infected groups of COVID-19. And, from the ANOVA test, we observe a significant difference in the mean infected number of COVID-19 cases across the five different population density groups. Besides, the prediction model shows that the cumulative number of infected cases would be raised to around 500,000 in the most densely region of Bangladesh, Dhaka division.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	J Healthc Inform Res
dc.relation.isbasedon	10.1007/s41666-021-00105-8
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in Sharif, O., Islam, M.R., Hasan, M.Z. et al. Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19. J Healthc Inform Res 6, 72–90 (2022). The final authenticated version is available online at: http://doi.org/10.1007/s41666-021-00105-8
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.
dc.type	Journal Article
utslib.location.activity	Switzerland
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-09-16T00:00:00+1000Z
dc.date.updated	2022-01-19T00:03:41Z
pubs.publication-status	Published online

Abstract:

The aim of this study is to analyse the coronavirus disease 2019 (COVID-19) outbreak in Bangladesh. This study investigates the impact of demographic variables on the spread of COVID-19 as well as tries to forecast the COVID-19 infected numbers. First of all, this study uses Fisher's Exact test to investigate the association between the infected groups of COVID-19 and demographical variables. Second, it exploits the ANOVA test to examine significant difference in the mean infected number of COVID-19 cases across the population density, literacy rate, and regions/divisions in Bangladesh. Third, this research predicts the number of infected cases in the epidemic peak region of Bangladesh for the year 2021. As a result, from the Fisher's Exact test, we find a very strong significant association between the population density groups and infected groups of COVID-19. And, from the ANOVA test, we observe a significant difference in the mean infected number of COVID-19 cases across the five different population density groups. Besides, the prediction model shows that the cumulative number of infected cases would be raised to around 500,000 in the most densely region of Bangladesh, Dhaka division.

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http://hdl.handle.net/10453/153312