Privacy Management and Health Information Sharing via Contact Tracing during the COVID-19 Pandemic: A Hypothetical Study on AI-Based Technologies
10.1080/10410236.2021.1981565
Saved in:
Main Authors: | Soo Jung Hong, Hichang Cho |
---|---|
Other Authors: | COMMUNICATIONS AND NEW MEDIA |
Format: | Article |
Published: |
Taylor & Francis
2023
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/238887 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
The role of uncertainty and affect in decision-making on the adoption of AI-based contact-tracing technology during the COVID-19 pandemic
by: Hong, Soo Jung, et al.
Published: (2023) -
COVID-19 contact-tracing apps : analysis of the readability of privacy policies
by: Zhang, Melvyn, et al.
Published: (2021) -
COVID-19 one year on: Security and privacy review of contact tracing mobile apps
by: ANG, Wei Yang, et al.
Published: (2021) -
Determinants of the acceptance and adoption of a digital contact tracing tool during the COVID-19 pandemic in Singapore
by: Huang, Zhilian, et al.
Published: (2022) -
Covid-19 digital contact tracing with sequence embedding
by: Li, Bingzi
Published: (2021)