Generalized Markov models of infectious disease spread: A novel framework for developing dynamic health policies

► We consider dynamic programming (DP) for the optimal control of infectious spreads. ► We discuss major limitations of using existing infectious disease models to inform dynamic decision - making. ► We propose a class of models which can be employed by DP or approximate DP. ► We demonstrate the abi...

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Veröffentlicht in:	European journal of operational research 2011-12, Vol.215 (3), p.679-687
Hauptverfasser:	Yaesoubi, Reza, Cohen, Ted
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Biological and medical sciences Discrete-time Markov chain Dynamic health policy Dynamic programming Epidemics Epidemiology Exact sciences and technology General aspects Health care policy Infectious disease models Infectious disease models Dynamic health policy Discrete-time Markov chain Dynamic programming Epidemiology Infectious diseases Markov analysis Mathematical models Mathematical programming Mathematics Medical sciences Operational research and scientific management Operational research. Management science Optimization techniques Probability and statistics Probability theory and stochastic processes Public health. Hygiene Public health. Hygiene-occupational medicine Reliability theory. Replacement problems Sciences and techniques of general use Special processes (renewal theory, markov renewal processes, semi-markov processes, statistical mechanics type models, applications) Studies
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