Show simple item record

The stochastic SI model with recruitment and deaths I. comparison with the closed SIS model

dc.contributor.authorJacquez, John A.en_US
dc.contributor.authorSimon, Carl P.en_US
dc.date.accessioned2006-04-10T15:36:09Z
dc.date.available2006-04-10T15:36:09Z
dc.date.issued1993en_US
dc.identifier.citationJacquez, John A., Simon, Carl P. (1993)."The stochastic SI model with recruitment and deaths I. comparison with the closed SIS model." Mathematical Biosciences 117(1-2): 77-125. <http://hdl.handle.net/2027.42/30586>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VHX-45FCDS0-23/2/eedb6bb917d38344e781b62db669db9fen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30586
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=8400585&dopt=citationen_US
dc.description.abstractWe compare the stochastic and deterministic version of an SI model with recuitment, background deaths, and deaths due to the disease. For the stochastic version, analysis of the mean number of susceptibles, m, and infecteds, m, and of the means of conditioned on nonextinction of the infection, m* and m*, shows that (1) if R0 [les] 1, the disease dies out monotonically for the deterministic and stochastic models, and (2) if R0 &gt; 1, the disease dies out early with a probability close to (1/R0)a, where a is the number of infecteds introduced, or m rises to a peak and then dies out slowly. For small populations N, the peak is an obvious maximum. If N [ges] 100, the peak in m is hidden in a long, nearly stationary plateau and m* is close to the deterministic endemic level for a large range of parameter values. The analytical results are illustrated with simulations. The results for the SI model are motivated by and compared with the corresponding results for the closed SIS model.en_US
dc.format.extent2308337 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleThe stochastic SI model with recruitment and deaths I. comparison with the closed SIS modelen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartments of Physiology and Biostatics, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartments of Mathematics, Economics, and Public Policy, University of Michigan, Ann Arbor, MI, USAen_US
dc.identifier.pmid8400585en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30586/1/0000223.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(93)90018-6en_US
dc.identifier.sourceMathematical Biosciencesen_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.