This paper proposes a new epidemiological mathematical model based on the dynamics of urban public epidemicprevention and control model. Then, the nonlinear differential equation of epidemic propagation dynamics is deduced.Secondly, this paper uses the exponential equation to fit the curve, takes three days as the optimal window time, andestimates the turning point of the urban public epidemic. Again, this paper establishes a dynamic model of dynamicexperience transfer. Finally, this paper uses the COVID19 example to verify the public epidemic prevention and controlproblems described in the text. Experimental simulations show that the algorithm can better grasp importantepidemiological dynamics
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