Overview of digital health surveillance system during COVID-19 pandemic: public health issues and misapprehensions
It addresses privacy issues in public health surveillance for governments and researchers, but is incremental as it synthesizes existing literature without new findings.
The paper reviews digital health surveillance systems used during the COVID-19 pandemic, highlighting privacy concerns and misapprehensions, with a focus on AI and 5G networks versus Bluetooth-based systems.
Without proper medication and vaccination for the COVID-19, many governments are using automated digital healthcare surveillance system to prevent and control the spread. There is not enough literature explaining the concerns and privacy issues; hence, we have briefly explained the topics in this paper. We focused on digital healthcare surveillance system's privacy concerns and different segments. Further research studies should be conducted in different sectors. This paper provides an overview based on the published articles, which are not focusing on the privacy issues that much. Artificial intelligence and 5G networks combine the advanced digital healthcare surveillance system; whereas Bluetooth-based contact tracing systems have fewer privacy concerns. More studies are required to find the appropriate digital healthcare surveillance system, which would be ideal for monitoring, controlling, and predicting the COVID-19 trajectory.