Bayesian model assessment for stochastic epidemic modelsTools Alharthi, Muteb (2016) Bayesian model assessment for stochastic epidemic models. PhD thesis, University of Nottingham.
AbstractAcrucial practical advantage of infectious diseases modelling as a public health tool lies in its application to evaluate various diseasecontrol policies. However, such evaluation is of limited use, unless a sufficiently accurate epidemic model is applied. If the model provides an adequate fit, it is possible to interpret parameter estimates, compare disease epidemics and implement control procedures. Methods to assess and compare stochastic epidemic models in a Bayesian framework are not wellestablished, particularly in epidemic settings with missing data.
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