An introduction to compartmental modeling for the budding infectious disease modeler

dc.contributor.authorBlackwood, Julie C.en
dc.contributor.authorChilds, Lauren M.en
dc.contributor.departmentMathematicsen
dc.date.accessioned2018-09-11T13:42:36Zen
dc.date.available2018-09-11T13:42:36Zen
dc.date.issued2018-08-16en
dc.description.abstractMathematical models are ubiquitous in the study of the transmission dynamics of infectious diseases, In particular, the classic ‘susceptible-infectious-recovered’ (SIR) paradigm provides a modeling framework that can be adapted to describe the core transmission dynamics of a range of human and wildlife diseases. These models provide an important tool for uncovering the mechanisms generating observed disease dynamics, evaluating potential control strategies, and predicting future outbreaks. With ongoing advances in computational tools as well as access to disease incidence data, the use of such models continues to increase. Here, we provide a basic introduction to disease modeling that is primarily intended for individuals who are new to developing SIR-type models. In particular, we highlight several common issues encountered when structuring and analyzing these models.en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1080/23737867.2018.1509026en
dc.identifier.issue1en
dc.identifier.urihttp://hdl.handle.net/10919/84993en
dc.identifier.volume5en
dc.language.isoen_USen
dc.publisherTaylor & Francisen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectMathematical modelen
dc.subjectCompartmental modelen
dc.subjectBasic reproductive numberen
dc.subjectTransmissionen
dc.titleAn introduction to compartmental modeling for the budding infectious disease modeleren
dc.title.serialLetters in Biomathematicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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