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A stochastic model for early identification of infectious disease epidemics with application to measles cases in Bangladesh

Sharmin, Sifat; Rayhan, Israt


In this article, a stochastic modeling approach was employed for the detection of epidemics in advance that was based on a negative binomial model with 2 components: an endemic component and an epidemic component. This study used monthly measles cases from January 2000 to August 2009 collected from the Expanded Program on Immunization, Bangladesh. General optimization routines provided the maximum likelihood estimates with corresponding standard errors. The negative binomial model with both...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Journal article
Source: Asia Pacific Journal of Public Health
DOI: 10.1177/1010539512461668


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