| Issue |
SHS Web Conf.
Volume 163, 2023
2023 8th International Conference on Social Sciences and Economic Development (ICSSED 2023)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 7 | |
| Section | Corporate Decision Making and Brand Operations Sales | |
| DOI | https://doi.org/10.1051/shsconf/202316303001 | |
| Published online | 28 April 2023 | |
Study on COVD-19 epidemic prediction and distribution Strategy based on SIR Model
Xi’an Shiyou University
xiongxiongyyds@163.com
wpymail@126.com
zfzhao@xsyu.edu.cn
Developing a more scientific COVID-19 response strategy has become a hot topic today. By sorting out a large amount of data, this paper predicts the spread law of the epidemic in Shanghai, Beijing, and Changchun in May, summarizing the key factors related to the spread of the epidemic and human immunity, using a tool to process and fitting the data, obtaining the spread law of the COVID-19 outbreak in the three cities under the epidemic, and establishing the SIR Infectious disease model. The development of the epidemic situation in the above towns was analyzed and predicted by linear fitting.
In than in Shanghai, Beijing, and Changchun, three cities the size of the population, social and economic situation, policy enforcement, and other factors, we select the optimal strategy of Shanghai medical collections as the research object to analyze the degree of Shanghai regional deficiencies, and supplies reasonable dispatch by using principal component analysis and cluster analysis method.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
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