A stochastic model for early identification of infectious disease epidemics with application to measles cases in Bangladesh
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]
|Collections||ANU Research Publications|
|Source:||Asia Pacific Journal of Public Health|
|01_Sharmin_A_stochastic_model_for_early_2015.pdf||443.46 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.