Forecasting the Progress of Epidemics by Means of a Bayesian-Entropy Framework

R C Souza
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R C Souza: Grupo de Sistemas, DEE, PUC/RJ, Rua Marques de São Vicente 225, Rio de Janeiro, Brazil

Environment and Planning A, 1982, vol. 14, issue 1, 49-60

Abstract: In a recent paper a new approach to forecasting based on the Bayesian principles of information theory was proposed and called the Poisson-gamma single-state model. In this paper a two-state version of the Poisson-gamma model is formulated by considering the uncertainty not only in the parameters but also in the model itself. This model is particularly useful for modelling epidemic data such as measles by considering two different situations (states) of the generating process at each time point: viz, state 1—no epidemic phase; state 2—epidemic phase.

Date: 1982
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:14:y:1982:i:1:p:49-60

DOI: 10.1068/a140049

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