Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)

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Research on Epidemic Predictive Modeling, Data Fusion and Effective Prevention and Control Strategies by China’s Digital Government

Take Guangzhou as an Example

Authors
Aikeda Adilii1, Anqi Xu1, Jihaeng Lee1, *
1Department of Public Administration, Guangdong Ocean University, Mazhang, Zhanjiang, China
*Corresponding author. Email: 1298085774@qq.com
Corresponding Author
Jihaeng Lee
Available Online 7 December 2022.
DOI
10.2991/978-94-6463-016-9_27How to use a DOI?
Keywords
digital government; Mathematical Modelling; Epidemic prevention and control
Abstract

In recent years, China has actively advocated the construction of digital government. With the continuous progress of the times, China’s digital government has the characteristics of wide coverage and strong integrity. At the same time, digital government has played a great role in the prevention and control of the COVID-19 epidemic. During the outbreak, it is crucial to analyze the risk of the epidemic and evaluate the effectiveness and timeliness of prevention and control strategies based on mathematical models and combining a small amount of real-time and updated multi-source data. Based on the previous researches and combined with the concept of digital government, the study intends to analyze the existing problems of epidemic prevention and control policies in Guangzhou by applying mathematical modeling and in the meantime, to gradually establish a model in line with the prevention and control strategies. Studies how Guangzhou can use digital technology to ensure the safety of the masses, better grasp the development track of the epidemic, launch a strong implementation plan in the unpredictable trend of the crisis and how to minimize the losses of the crisis.

Copyright
© 2023 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 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 December 2022
ISBN
978-94-6463-016-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-016-9_27How to use a DOI?
Copyright
© 2023 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  - Aikeda Adilii
AU  - Anqi Xu
AU  - Jihaeng Lee
PY  - 2022
DA  - 2022/12/07
TI  - Research on Epidemic Predictive Modeling, Data Fusion and Effective Prevention and Control Strategies by China’s Digital Government
BT  - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
PB  - Atlantis Press
SP  - 239
EP  - 248
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-016-9_27
DO  - 10.2991/978-94-6463-016-9_27
ID  - Adilii2022
ER  -