engleski

Dynamically rich, yet parameter-sparse models for spatial epidemiology: Comment on "Coupled disease-behavior dynamics on complex networks: A review" by Z. Wang et al.

Since the very inception of mathematical modeling in epidemiology, scientists exploited the simplicity ingrained in the assumption of a well-mixed population. For example, perhaps the earliest susceptible–infectious–recovered (SIR) model developed by L. Reed and W. H . Frost in the 1920s, included the well-mixed assumption such that any two individuals in the population could meet each other.

disease–behavior dynamics ; risk management ; parameter estimation ; heterogeneous topology ; phase transitions

nije evidentirano