Models of epidemics and endemicity in genetically variable host populations
dc.contributor.author | Longini, Ira M. | en_US |
dc.date.accessioned | 2006-09-11T18:24:22Z | |
dc.date.available | 2006-09-11T18:24:22Z | |
dc.date.issued | 1983-07 | en_US |
dc.identifier.citation | Longini, 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.issn | 0303-6812 | en_US |
dc.identifier.issn | 1432-1416 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/46943 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=6619663&dopt=citation | en_US |
dc.description.abstract | A 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.extent | 779073 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag | en_US |
dc.subject.other | Analysis | en_US |
dc.subject.other | Mathematics | en_US |
dc.subject.other | Epidemics | en_US |
dc.subject.other | Numerical Analysis | en_US |
dc.subject.other | Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences | en_US |
dc.subject.other | Genetics | en_US |
dc.subject.other | Linear and Multilinear Algebras, Matrix Theory | en_US |
dc.subject.other | Probability Theory and Stochastic Processes | en_US |
dc.subject.other | Deterministic Models | en_US |
dc.subject.other | Mathematical Biology in General | en_US |
dc.subject.other | Endemicity | en_US |
dc.subject.other | Stability | en_US |
dc.title | Models of epidemics and endemicity in genetically variable host populations | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Departments of Statistics and Epidemiology, University of Michigan, 48109, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.identifier.pmid | 6619663 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/46943/1/285_2004_Article_BF00276518.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF00276518 | en_US |
dc.identifier.source | Journal of Mathematical Biology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe its collections in a way that respects the people and communities who create, use, and are represented in them. We encourage you to Contact Us anonymously if you encounter harmful or problematic language in catalog records or finding aids. More information about our policies and practices is available 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.