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A note on chain-binomial models of epidemic spread: What is wrong with the Reed-Frost formulation?
dc.contributor.authorJacquez, John A.en_US
dc.date.accessioned2006-04-07T19:46:08Z
dc.date.available2006-04-07T19:46:08Z
dc.date.issued1987-11en_US
dc.identifier.citationJacquez, John A. (1987/11)."A note on chain-binomial models of epidemic spread: What is wrong with the Reed-Frost formulation?." Mathematical Biosciences 87(1): 73-82. <http://hdl.handle.net/2027.42/26512>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VHX-45F5T8F-17/2/b3fadc1b0ab9081a2246da84bbd9062een_US
dc.identifier.urihttps://hdl.handle.net/2027.42/26512
dc.description.abstractDerivations of the Reed-Frost model are analyzed in terms of the assumptions about the probabilistic process used and in terms of internal consistency. Internally consistent derivations can be exhibited but require assumptions about the basic probabilistic process that are clearly unreasonable. A properly posed, more general model is derivable through the use of En'ko's model and the generating function for the number of contacts per person [6].en_US
dc.format.extent594290 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA note on chain-binomial models of epidemic spread: What is wrong with the Reed-Frost formulation?en_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.affiliationumDepts. of Biostatistics and Physiology, The University of Michigan, Ann Arbor, Michigan 48109 USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/26512/1/0000050.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(87)90034-4en_US
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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