Depression Spread Model with Cellular Automata

A Cellular Automata mathematical model is proposed to analyze the depression spreading. A simulation is done and the results verified that the mathematical model is right and excellent. A linear regression model is presented to describe the relationship among prevalence rate of depression, incidence and cure rates. Principal Component Analysis conforms that any parameter is important in the linear regression model. And it is found that if there are no new patients and the cure rate is zero, the prevalence will be a constant with value 21.23%, otherwise it may increase, which is related to the status quo of the society. Based on the model, create a good surrounding, reducing the proportion of depression should be the short-term focus, and increasing the health care facilities and services should be long-term goal, just this prevalence will be reduced as soon as possible and depression will be suppressed.