Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Research on COVID--19 Prevention and Control Policies in China--Based on the Quantitative Analysis of Existing Central and Local Governments' Policies Text

Authors
Shengchun Ding1, Ziqi Lin1, *
1Nanjing University of Science and Technology, JiangSu, 210000, Nanjing, China
*Corresponding author. Email: linziqi966@163.com
Corresponding Author
Ziqi Lin
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_38How to use a DOI?
Keywords
Covid-19; Analysis on policies; Policy diffusion; Topic mining; Policy distinction
Abstract

The Chinese government had published a series of epidemic prevention and control policy during covid-19. We are able to reveal the emphasis, intention, and diffusion law of those policies published by the central and local government by analyzing them. First, Time-Series Analysis method is used to explore the policy diffusion pattern, and then the keyword co-occurrence method is used to analyze the cooperation network of the policy issuing institutions. Finally, the theme modeling and theme discovery of the central policy texts are carried out by constructing the LDA topic model. The trend of local and central policy release is roughly the same, and the spread of epidemic prevention and control policies shows the characteristics of policy explosion and policy fission; The main papers of central and local policies are mainly individual papers and supplemented by joint papers. There is a close relationship between the central and local policy themes, and local policies are generally improved and deployed along the direction of the central policy, but each has its own focus.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_38
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_38How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shengchun Ding
AU  - Ziqi Lin
PY  - 2023
DA  - 2023/09/28
TI  - Research on COVID--19 Prevention and Control Policies in China--Based on the Quantitative Analysis of Existing Central and Local Governments' Policies Text
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 346
EP  - 354
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_38
DO  - 10.2991/978-94-6463-264-4_38
ID  - Ding2023
ER  -