Proceedings of the 2021 International Conference on Social Development and Media Communication (SDMC 2021)

The Application of Data Science in Public Health

Authors
Dingwei Zhandingweiz@uci.edu
University of California, Irvine
Corresponding Author
Dingwei Zhandingweiz@uci.edu
Available Online 17 January 2022.
DOI
10.2991/assehr.k.220105.060How to use a DOI?
Keywords
Data Science; COVID-19; Health QR Code; Privacy; Public Health
Abstract

Since the eruption of COVID-19 pandemic at the end of Dec. 2019, China has relied heavily on health QR code to monitor the movement of people at various locales and regions. Technically, health QR code is a micro-program embedded in Alipay or Wechat that integrates big data and complicated algorithm to allocate a certain color (red, yellow, or green corresponding to different levels of exposure risks) to the code. The placement of health QR code in nearly every smart phone in China has contributed to the establishment of a social barrier to withstand the spread of COVID-19 pandemic. Indeed, before the sweeping of COVID-19 pandemic, QR code was mainly limited to occasions such as electronic payment and seldom applicable to the domain of public health. Gradually, the destiny of QR code has been sublimed to a national necessity and the very techniques that make the code work fall into the category of data science, via which data is collected, processed, integrated, and visually displayed. However, while health QR code contributed to choking of COVID-19 spread in China, the implication of coercive usage of such a system led to concerns that personal information might be misused for unrighteous purposes and the erroneous analytical results might cause negative consequences. Ultimately, this article demonstrates that although the wielding of data science might lead to some undesirable effects, it is inevitable for contemporary human beings to accept and get along with datafication.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2021 International Conference on Social Development and Media Communication (SDMC 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 January 2022
ISBN
978-94-6239-512-1
ISSN
2352-5398
DOI
10.2991/assehr.k.220105.060How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dingwei Zhan
PY  - 2022
DA  - 2022/01/17
TI  - The Application of Data Science in Public Health
BT  - Proceedings of the 2021 International Conference on Social Development and Media Communication (SDMC 2021)
PB  - Atlantis Press
SP  - 317
EP  - 322
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220105.060
DO  - 10.2991/assehr.k.220105.060
ID  - Zhan2022
ER  -