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dc.contributor.authorLega, J.
dc.date.accessioned2021-06-17T01:09:44Z
dc.date.available2021-06-17T01:09:44Z
dc.date.issued2021
dc.identifier.citationLega, J. (2021). Parameter estimation from ICC curves. Journal of biological dynamics, 15(1), 195-212.
dc.identifier.issn1751-3758
dc.identifier.pmid33827379
dc.identifier.doi10.1080/17513758.2021.1912419
dc.identifier.urihttp://hdl.handle.net/10150/659956
dc.description.abstractIncidence vs. Cumulative Cases (ICC) curves are introduced and shown to provide a simple framework for parameter identification in the case of the most elementary epidemiological model, consisting of susceptible, infected, and removed compartments. This novel methodology is used to estimate the basic reproduction ratio of recent outbreaks, including those associated with the ongoing COVID-19 pandemic. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.rightsCopyright © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectcompartmental models
dc.subjectOutbreak
dc.subjectparameter identification
dc.titleParameter estimation from ICC curves
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Mathematics, University of Arizona
dc.identifier.journalJournal of Biological Dynamics
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleJournal of Biological Dynamics
refterms.dateFOA2021-06-17T01:09:44Z


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Copyright © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as Copyright © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).