Show simple item record

Models of epidemics and endemicity in genetically variable host populations

dc.contributor.authorLongini, Ira M.en_US
dc.date.accessioned2006-09-11T18:24:22Z
dc.date.available2006-09-11T18:24:22Z
dc.date.issued1983-07en_US
dc.identifier.citationLongini, Ira M.; (1983). "Models of epidemics and endemicity in genetically variable host populations." Journal of Mathematical Biology 17(3): 289-304. <http://hdl.handle.net/2027.42/46943>en_US
dc.identifier.issn0303-6812en_US
dc.identifier.issn1432-1416en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46943
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=6619663&dopt=citationen_US
dc.description.abstractA discrete time genetics model is developed for populations that are undergoing selection due to infectious disease. It is assumed that the generation time of the host and infectious agent are non-synchronous and that only the host population is evolving. Two classes of epidemic processes are considered. The first class is for infectious agents that confer immunity following infection, while the second class is for those that do not confer immunity. The necessary and sufficient conditions are found in order for the disease to persist in a stable polymorphic host population. These conditions are shown to depend on the density of susceptibles, the selection coefficients, and the severity and class of the disease process.en_US
dc.format.extent779073 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherAnalysisen_US
dc.subject.otherMathematicsen_US
dc.subject.otherEpidemicsen_US
dc.subject.otherNumerical Analysisen_US
dc.subject.otherStatistics for Engineering, Physics, Computer Science, Chemistry & Geosciencesen_US
dc.subject.otherGeneticsen_US
dc.subject.otherLinear and Multilinear Algebras, Matrix Theoryen_US
dc.subject.otherProbability Theory and Stochastic Processesen_US
dc.subject.otherDeterministic Modelsen_US
dc.subject.otherMathematical Biology in Generalen_US
dc.subject.otherEndemicityen_US
dc.subject.otherStabilityen_US
dc.titleModels of epidemics and endemicity in genetically variable host populationsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartments of Statistics and Epidemiology, University of Michigan, 48109, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid6619663en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46943/1/285_2004_Article_BF00276518.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00276518en_US
dc.identifier.sourceJournal of Mathematical Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.