A Difference Equation Model of Infectious Disease

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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 © 2022 by the authors. Licensee Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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AlanDeğerDil
dc.contributor.authorShannon, Anthony
dc.contributor.authorDubeau, François
dc.contributor.authorUysal, Mine
dc.contributor.authorÖzkan, Engin
dc.date.accessioned2026-10-18T20:27:26.733415018Z
dc.date.available2026-10-18T20:27:26.733415018Z
dc.date.issued2022
dc.description.abstractIn 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 © 2022 by the authors. Licensee Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.identifier.doi10.7546/ijba.2022.26.4.000899
dc.identifier.endpage352
dc.identifier.issn1314-1902
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85147733784
dc.identifier.startpage339
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/12554
dc.identifier.volume26
dc.language.isoen
dc.publisherInstitute of Biophysics and Biomedical Engineering
dc.relation.ispartofInternational Journal Bioautomation
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCayley-hamilton theorem
dc.subjectCharacteristic equation
dc.subjectDifference equations
dc.subjectIll-conditioning
dc.subjectResistants. recursive sequences
dc.subjectSusceptibles
dc.subjectVector
dc.subjectBiomedical engineering
dc.subjectCoronavirus
dc.subjectCoronaviruses
dc.subjectEquation models
dc.subjectInfectious disease
dc.subjectRecursive sequences
dc.subjectResistant.
dc.subjectUncertainty
dc.titleA Difference Equation Model of Infectious Disease
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus22
rdl.oa.statusgold
rdl.source.indexSCOPUS