COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalised medicine
This work provides insights into digital health tools for pandemic management, but it is incremental as it reviews existing literature and case studies without introducing new methods or data.
The paper conducted a bibliographic review and case study analysis of COVID-19 pandemic management, examining the rise of social machines and connected devices in the context of predictive, preventive, and personalized medicine, and found that public mistrust regarding privacy data misuse varies by country based on communication strategies.
A comprehensive bibliographic review with R statistical methods of the COVID pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search. In addition, a case study review of emerging new approaches in different regions, using medical literature, academic literature, news articles and other reliable data sources. Public responses of mistrust about privacy data misuse differ across countries, depending on the chosen public communication strategy.