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Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Research on Scientific Management of Living Materials During the Coronavirus Disease 2019 Epidemic

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330296,
        author={Feng  Chen},
        title={Research on Scientific Management of Living Materials  During the Coronavirus Disease 2019 Epidemic},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={novel coronavirus pneumonia bp neural network living materials},
        doi={10.4108/eai.6-1-2023.2330296}
    }
    
  • Feng Chen
    Year: 2023
    Research on Scientific Management of Living Materials During the Coronavirus Disease 2019 Epidemic
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330296
Feng Chen1,*
  • 1: Shanghai University of Engineering Science
*Contact email: 1539668727@qq.com

Abstract

The sudden outbreak of the novel coronavirus disease 2019 (COVID-19) at the end of 2019 has had a significant impact on the lives of Chinese people and social and economic development. During the period of epidemic closure, the scientific management of various groups of people has become very important, and the scientific management of living materials is particularly important. This paper uses the BP neural network model to predict and analyze the development trend of the distribution of vegetable bags and the number of people infected with the new crown and finds that the inflection point of the epidemic after the distribution of vegetable bags appears early and shows a clear downward trend. This paper concludes that the scientific management and distribution of living materials during the epidemic can reduce the intensive contact between people, reduce the risk, and achieve the effect of inhibiting the development of the epidemic. This paper concludes the predictive analysis of the application of technical means, which will provide solutions for the emergency response to major public health events in the future.

Keywords
novel coronavirus pneumonia bp neural network living materials
Published
2023-06-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.6-1-2023.2330296
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