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Article: Estimating the initial relative infection rate for a stochastic epidemic model

TitleEstimating the initial relative infection rate for a stochastic epidemic model
Authors
Issue Date1989
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/tpb
Citation
Theoretical Population Biology, 1989, v. 36 n. 2, p. 202-213 How to Cite?
AbstractConsider the problem of making inference about the initial relative infection rate of a stochastic epidemic model. A relatively complete analysis of infectious disease data is possible when it is assumed that the latent and infectious periods are nonrandom. Here two related martingale-based techniques are used to derive estimates and associated standard errors for the initial relative infection rate. The first technique requires complete information on the epidemic, the second only the total number of people who were infected and the population size. Explicit expressions for the estimates are obtained. The estimates of the parameter and its associated standard error are easily computed and compare well with results of other methods in an application to smallpox data. Asymptotic efficiency differences between the two martingale techniques are considered. © 1989.
Persistent Identifierhttp://hdl.handle.net/10722/171992
ISSN
2015 Impact Factor: 1.452
2015 SCImago Journal Rankings: 1.044
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYip, Pen_US
dc.date.accessioned2012-10-30T06:19:33Z-
dc.date.available2012-10-30T06:19:33Z-
dc.date.issued1989en_US
dc.identifier.citationTheoretical Population Biology, 1989, v. 36 n. 2, p. 202-213en_US
dc.identifier.issn0040-5809en_US
dc.identifier.urihttp://hdl.handle.net/10722/171992-
dc.description.abstractConsider the problem of making inference about the initial relative infection rate of a stochastic epidemic model. A relatively complete analysis of infectious disease data is possible when it is assumed that the latent and infectious periods are nonrandom. Here two related martingale-based techniques are used to derive estimates and associated standard errors for the initial relative infection rate. The first technique requires complete information on the epidemic, the second only the total number of people who were infected and the population size. Explicit expressions for the estimates are obtained. The estimates of the parameter and its associated standard error are easily computed and compare well with results of other methods in an application to smallpox data. Asymptotic efficiency differences between the two martingale techniques are considered. © 1989.en_US
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/tpben_US
dc.relation.ispartofTheoretical Population Biologyen_US
dc.subject.meshCommunicable Diseases - Epidemiologyen_US
dc.subject.meshDisease Outbreaks - Statistics & Numerical Dataen_US
dc.subject.meshHumansen_US
dc.subject.meshModels, Statisticalen_US
dc.subject.meshNigeriaen_US
dc.subject.meshPopulation Densityen_US
dc.subject.meshSmallpox - Epidemiologyen_US
dc.subject.meshStochastic Processesen_US
dc.titleEstimating the initial relative infection rate for a stochastic epidemic modelen_US
dc.typeArticleen_US
dc.identifier.emailYip, P: sfpyip@hku.hken_US
dc.identifier.authorityYip, P=rp00596en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/0040-5809(89)90030-0-
dc.identifier.pmid2814904-
dc.identifier.scopuseid_2-s2.0-0024743270en_US
dc.identifier.volume36en_US
dc.identifier.issue2en_US
dc.identifier.spage202en_US
dc.identifier.epage213en_US
dc.identifier.isiWOS:A1989AX01700006-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYip, P=7102503720en_US

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