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
Petar Radanliev, David De Roure, Rob Walton, Max Van Kleek, Rafael, Mantilla Montalvo, Omar Santos, LaTreall Maddox, Stacy Cannady

TL;DR
This paper reviews how social machines and connected devices have been utilized in COVID-19 pandemic management, emphasizing predictive, preventive, and personalized medicine approaches through bibliographic analysis and case studies.
Contribution
It provides a comprehensive review of emerging digital health approaches and public responses during the COVID-19 pandemic, highlighting the role of social machines and connected devices.
Findings
Public mistrust about privacy varies across countries.
Effective communication strategies influence public acceptance.
Emerging digital approaches are shaping future pandemic management.
Abstract
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.
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