Abstract
Сonsidered the problem of predicting the epidemic development of diseases. It is proposed to use a basic model for predicting epidemic diseases and an optimization method in order to bring the epidemic development forecast closer to real parameters. The improvement uses least squares methods to improve the accuracy of the prediction results. The results of modeling are presented in the Matlab application package on the basis of statistical data on the COVID-19 disease in the United States of America are presented.
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