Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Jul 25, 2023
Date Accepted: Oct 13, 2024
Information source characteristics of personal data leakage in public health emergencies: Evidence from COVID-19 Pandemic in China
ABSTRACT
Background:
Information source characteristics of personal data leakage in public health emergencies: Evidence from COVID-19 in China
Objective:
To examines the information source characteristics of personal data leakage during COVID-19 in China.
Methods:
Extracting information source characteristics of 40 personal data leakage cases by open coding, analyzing the data with one-dimensional matrix and two-dimensional matrix.
Results:
In terms of organizational characteristics of leakage, leakage cases mainly occur in government agency or below the prefecture-level, while few occur in medical system or high level government organizations. As for the leaker, most of them are junior staff or regular employees, instead of senior managers or temporary workers. In terms of the channel of divulging, family WeChat groups is the main platform, and forwarding documents accounts for more, while taking photos and screenshots are relatively less.
Conclusions:
We propose the following suggestions: restricting the data collection authority of non-medical institutions and low level government agencies, strengthen training on privacy protection for low level employees, and restrict the flow of data to social media through technical means.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.