Morbidity-Mortality Table Construction for Eleven Chronical Diseases (ECD) Using Constant Force Assumption

Abstract

This paper describes the construction of morbidity-mortality table if the dataset is only available at ages interval. The table used to measure the interaction between morbidity and mortality on the eleven chronical diseases (ECD). The probabilistic framework is based on the multiple-states Markov model. The transition intensities are assumed constant in each age interval. This paper finds high probability someone stays in state ECD and higher probability someone dies because of ECD than other causes.

The Graduation of Transition Intensities From Semi-Markov Processes to Premium Pricing

“…The multi-state model in health insurance is divided into several finite states, for example healthy, disabled and dead. There are several approaches in solving multi-state model problems, including [3], namely by utilizing a deck cement table, then in subsequent studies providing an alternative solution using the Markov model assumptions, in this case, it is assumed that between each status always has a transition intensity including [4]. The intensity of the transition can also be used to predict future events.…”