전염성 질병 전파 시뮬레이션 모형의 이해

With the emerging threats of severe and frequent pandemic diseases, simulation models have been selected by many researchers as efficient tools to estimate and evaluate the epidemiological, economical, and social effects of infectious diseases. We review such simulation models to provide a simple guidance to practitioners who want to understand disease spread simulations and build their own simulation models. Based on more than 80 studies conducted in recent 20 years, fundamental components of simulation models, such as model structure, input/output data, and interventions, are considered and discussed in this paper.