Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)

The Efficient Allocation of Covid Testing Stations

Authors
Kaixin Luo1, *
1Shanghai Qibao Dwight High School, Shanghai, China
*Corresponding author. Email: kevinnb888@163.com
Corresponding Author
Kaixin Luo
Available Online 11 July 2023.
DOI
10.2991/978-2-38476-062-6_140How to use a DOI?
Keywords
nucleic acid testing (NAT); COVID-19; Covid testing stations
Abstract

Since the outbreak of the pandemic, the normalization of nucleic acid testing (NAT) has become a social phenomenon in China. According to the statement of the State Council of China in June 2022, the normalization of NAT will “help to identify potential risks earlier and implement prevention and control measures faster”. In this case, the setting of COVID-19 test station has become one of the most critical stages. This paper will use linear planning and secondary planning, based on the current problems, Simulate the real distribution of population density in China's major cities (Shanghai) and reallocate test stations. The final data shows that the government can properly adjust the resource allocation and the density of test stations in various districts of Shanghai. This study can help us allocate resources more reasonably and make the society operate more efficiently.

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 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2023
ISBN
978-2-38476-062-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-062-6_140How 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  - Kaixin Luo
PY  - 2023
DA  - 2023/07/11
TI  - The Efficient Allocation of Covid Testing Stations
BT  - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
PB  - Atlantis Press
SP  - 1087
EP  - 1096
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-062-6_140
DO  - 10.2991/978-2-38476-062-6_140
ID  - Luo2023
ER  -