Infectious disease model based on urban floating population and GDP

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Abstract

Infectious diseases threaten human life, health and safety, and have a significant impact on economic and social stability. The degree of harm depends on the speed and media of transmission. Human is one of the vectors of infectious diseases, but population flow is also affected by GDP, so the study of population flow and GDP plays an important role in the prevention and prediction of infectious diseases. At present, the SEIR model is the main infectious disease model, and few researchers consider the influence of GDP on the prediction of infectious disease in the process of improving the model. Based on the Pearson correlation coefficient of population and GDP, this paper proves the correlation between the two factors, proposes an infectious disease model based on the dual factors of urban floating population and GDP, and improves the model's prediction of infectious diseases. Taking the data of "epidemic transmission in Guiyang City" as an example, the results show that the prediction result of the new model is better than the existing SEIR model, and is closer to the actual situation of infectious disease transmission.

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