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Updated: Aug 12, 2025
Remote Laboratory Management: Respiratory Virus Diagnostics
Published on: April 6, 2019
Research on epidemic spread model based on cold chain input
Bo-Lun Chen1,2, Ben Yuan1, Win-Xin Jiang1
1Department of Computer Science, Huaiyin Institute of Technology, Huaiyin, 223003 Jiangsu China.
Abstract:
In recent years, the new type of coronary pneumonia (COVID-19) has become a highly contagious disease worldwide, posing a serious threat to the public health. This paper is based on the SEIR model of the new coronavirus pneumonia, considering the impact of cold chain input and re-positive on the spread of the virus in the COVID-19. In the process of model design, the food cold chain and re-positive are used as parameters, and its stability is analyzed and simulated. The experimental results show that taking into account the cold chain input and re-positive can effectively simulate the spread of the epidemic. The research results have important research value and practical significance for the prevention and control of the COVID-19 and the prediction of important time nodes.
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