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Influenza Epidemiology
Study results from M.A. Martínez-Beneito et al provide new insights into influenza epidemiology
October 14th, 2008
New research, 'Bayesian Markov switching models for the early detection of influenza epidemics,' is the subject of a report. According to a study from Valencia, Spain, "The early detection of outbreaks of diseases is one of the most challenging objectives of epidemiological surveillance systems. In this paper, a Markov switching model is introduced to determine the epidemic and non-epidemic periods from influenza surveillance data: the process of differenced incidence rates is modelled either with a first-order autoregressive process or with a Gaussian white-noise process depending on whether the system is in an epidemic or in a non-epidemic phase." "The transition...
Source: TB & Outbreaks Week (2008-10-14)
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