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Research on epidemic spread model based on cold chain input.
Chen, Bo-Lun; Yuan, Ben; Jiang, Win-Xin; Yu, Yong-Tao; Ji, Min.
  • Chen BL; Department of Computer Science, Huaiyin Institute of Technology, Huaiyin, 223003 Jiangsu China.
  • Yuan B; Institute of Informatics, University of Zurich, 8050 Zurich, Switzerland.
  • Jiang WX; Department of Computer Science, Huaiyin Institute of Technology, Huaiyin, 223003 Jiangsu China.
  • Yu YT; Department of Computer Science, Huaiyin Institute of Technology, Huaiyin, 223003 Jiangsu China.
  • Ji M; Department of Computer Science, Huaiyin Institute of Technology, Huaiyin, 223003 Jiangsu China.
Soft comput ; 27(5): 2251-2268, 2023.
Article in English | MEDLINE | ID: covidwho-2228772
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Soft comput Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Soft comput Year: 2023 Document Type: Article