Biosafety management strategy based on multiple linear regression model
Author:
Zhao Chao1, Xiao Zhanpeng2, Zhang Te2, Xiao Na2
Affiliation:
1. 1 School of Chemical Engineering and Technology , Center for Biosafety Research and Strategy, Tianjin University , Tianjin, 300072 , China 2. 2 College of Management and Economics , Tianjin University , Tianjin , , China
Abstract
Abstract
With the rise of artificial intelligence technology in the context of digital development of big data and information, the biosafety management method under the traditional model can hardly fit the development requirements of the times, and the biosafety management under the traditional model has various problems such as slow manual efficiency, tedious management work, and humanization of work. This paper focuses on studying a biosafety management strategy based on a multiple regression model, then analyzes and compares the two methods of the one-dimensional linear regression model and the multiple linear regression model. The study is conducted under the three indicators of biosafety management weight score. Arithmetic means to score and significance of 100 enterprises (schools, pharmaceutical companies, hospitals, and other types of these four major types) under the multiple linear regression model. The results show schools topped the list with a biosafety management weight score of 0.793. The arithmetic mean scores of the four categories of enterprises were ranked in descending order: schools, hospitals, pharmaceutical plants, and other categories. The size of the enterprise has a significant and positive effect on biosafety management, which means that the larger the size of the enterprise, the more resources the enterprise has under its control, and then the implementation of biosafety management and the improvement of its performance will be guaranteed. Analyzing the efficiency of biosafety management in hospitals based on three different methods over the past 20 years, it was found that the efficiency of biosafety management based on multiple linear regression models fluctuated from 60% to 95% compared to the other two methods. This study promotes university laboratories as important and safe bases for society to cultivate highly qualified and skilled personnel in line with the new era of production, management, and service lines and to contribute to the country’s experimental research work. This study has substantial reference value for biosafety management and promotes bioscience development in China.
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Reference21 articles.
1. Inglesby, T., Cicero, A., Rivers, C., & Zhang, W. (2019). Biosafety and biosecurity in the era of synthetic biology: meeting the challenges in China and the US. Journal of Biosafety and Biosecurity, 1(2), 73-74. 2. Wang, Q., & Zhao, Q. Z. (2018). Biosecurity is a Key Strategy to Prevent the Introduction of African Swine Fever into Pig Farms. Chinese Journal of Veterinary Drug. 3. You, W. Y. (2018). Construction of Biosafety Prevention and Control System of Veterinary Laboratory in Colleges and Universities. Modern Agricultural Science and Technology. 4. Liu, Y., Huang, K., Jiang, Y., et al. (2020). Biosafety management of BSL-2 laboratories of virology at foreign first-class universities: Taking Princeton University as an example. Experimental Technology and Management. 5. Li, D., Liu, H., Wang, Y., et al. (2020). Clinical features of 30 cases with novel coronavirus pneumonia. Chinese Journal of Infectious Diseases, 38(00), E018-E018.
|
|