Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

Research on Epidemic Prevention Design for Coping with Public Health Emergency in the Guangdong-Hong Kong-Macao Greater Bay Area—Taking COVID-19 Epidemic Prevention as an Example

Authors
Qianwen Hu1, Hai Fang1, *, Jingjiao Wu2
1School of Art and Design, Guangdong University of Technology, Yuexiu, Guangzhou, Guangdong, People’s Republic of China
2School of Design, Jilin University of Arts, Chaoyang, Changchun, Jilin, People’s Republic of China
*Corresponding author. Email: fanghaimail@163.com
Corresponding Author
Hai Fang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_102How to use a DOI?
Keywords
The Greater Bay Area; Epidemic Prevention Design; COVID-19
Abstract

Under the background of the normalized COVID-19 epidemic, the Guangdong-Hong Kong-Macao Greater Bay Area (hereinafter referred to as “Greater Bay Area”) needs to improve its ability to cope with public health emergency. In view of this situation, this paper analyzes the regional particularity of the Greater Bay Area and its requirements for public epidemic prevention, puts forward design principles of the public epidemic prevention for the Greater Bay Area to cope with public health emergency, and puts forward the possibility and solution of a design scheme with taking the public epidemic prevention passage as the design case.

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 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_102How 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

TY  - CONF
AU  - Qianwen Hu
AU  - Hai Fang
AU  - Jingjiao Wu
PY  - 2022
DA  - 2022/12/27
TI  - Research on Epidemic Prevention Design for Coping with Public Health Emergency in the Guangdong-Hong Kong-Macao Greater Bay Area—Taking COVID-19 Epidemic Prevention as an Example
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 991
EP  - 1000
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_102
DO  - 10.2991/978-94-6463-064-0_102
ID  - Hu2022
ER  -