A Difference Equation Model of Infectious Disease

Shannon, A; Dubeau, F; Uysal, M; Özkan, E

A Difference Equation Model of Infectious Disease

Shannon, A

Dubeau, F Uysal, M Özkan, E

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Publisher:: Prof. Marin Drinov Publishing House of BAS (Bulgarian Academy of Sciences)
Publication Type:: Journal Article
Citation:: International Journal Bioautomation, 2022, 26, (4), pp. 339-352
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Shannon, A https://orcid.org/0000-0003-0116-0666
dc.contributor.author	Dubeau, F
dc.contributor.author	Uysal, M
dc.contributor.author	Özkan, E
dc.date.accessioned	2023-03-27T23:18:34Z
dc.date.available	2023-03-27T23:18:34Z
dc.date.issued	2022-01-01
dc.identifier.citation	International Journal Bioautomation, 2022, 26, (4), pp. 339-352
dc.identifier.issn	1314-1902
dc.identifier.issn	1314-2321
dc.identifier.uri	http://hdl.handle.net/10453/168639
dc.description.abstract	In the context of so much uncertainty with coronavirus variants and official mandate based on seemingly exaggerated predictions of gloom from epidemiologists, it is appropriate to consider a revised model of relative simplicity, because there can be dangers in developing models which endeavour to account for too many variables. Predictions and projections from any such models have to be in the context of relevant contingencies. The model presented here is based on relatively simple second order difference equations. The context here is as important as the content in that in many Western counties where the narrative currently seems more important than the truth, and the results of empirical science are valued more as a shield for politicians than a sword for protection of citizens
dc.language	en
dc.publisher	Prof. Marin Drinov Publishing House of BAS (Bulgarian Academy of Sciences)
dc.relation.ispartof	International Journal Bioautomation
dc.relation.isbasedon	10.7546/IJBA.2022.26.4.000899
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Difference Equation Model of Infectious Disease
dc.type	Journal Article
utslib.citation.volume	26
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-27T23:18:32Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	26
utslib.citation.issue	4

Abstract:

In the context of so much uncertainty with coronavirus variants and official mandate based on seemingly exaggerated predictions of gloom from epidemiologists, it is appropriate to consider a revised model of relative simplicity, because there can be dangers in developing models which endeavour to account for too many variables. Predictions and projections from any such models have to be in the context of relevant contingencies. The model presented here is based on relatively simple second order difference equations. The context here is as important as the content in that in many Western counties where the narrative currently seems more important than the truth, and the results of empirical science are valued more as a shield for politicians than a sword for protection of citizens

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/168639