전염병 설명 모형과 모의시험

Modeling and Simulations for Infectious Diseases

&nbsp;&nbsp;Modeling and simulations of infectious diseases are useful tools to estimate epidemic size and determine effective intervention methods. Models are idealized, simplified representations of reality. Therefore, a simple model should be the first design, with complex models always able to be added later to better represent reality. The following recommendations are made to ensure accurate simulations: (1) minimal feasible complexity, (2) mathematically well-defined, models should be constructed "With well characterized stochastic processes rather than &quot;ad-hoc&quot;behavioral models, (3) if predictions are being made, unknown parameters need to be robustly estimated using the model from epidemiological data, (4) where data is unavailable, a detailed sensitivity analysis needs to be undertaken, and (5) even if models are only being used to explore dynamics, sensitivity analysis is important to understand mechanisms.<BR>&nbsp;&nbsp;For the effective control of infectious diseases "With models and simulations, we need effective information systems (laboratory and clinical data) for communicable disease control as a permanent infrastructure, closer collaboration between academic and service providers on new developments in communicable disease control, and enhanced monitoring of veterinary infections and &quot;minor&quot; zoonoses, particularly in resources poor settings.