On The Analysis of Hospital Infection Data Using Markov Models
نویسندگان
چکیده
We present a general approach to estimating parameters of continuous-time Markov chains from discretely sampled data. This methodology is combined with a new stochastic model for transmission of hospital-acquired infections — one which accounts for dynamic bed occupancy — providing a method for estimating the parameters of such systems. We pay particular attention to the conditions under which modelling dynamic bed occupancy is necessary. We additionally provide a new method for incorporating partial observability, and compare the results from this method to the commonly used existing approach. These results are anticipated to have wide application in studying nosocomial infections, and for assessing the efficacy of possible management strategies designed to decrease the prevalence of such infections.
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