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

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

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 li...

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Bibliographische Detailangaben
Veröffentlicht in:arXiv.org 2020-11
Hauptverfasser: Radanliev, Petar, De Roure, David, Walton, Rob, Max Van Kleek, Rafael Mantilla Montalvo, Santos, Omar, Maddox, LaTreall, Cannady, Stacy
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Computers and Society
Computer Science - Human-Computer Interaction
Coronaviruses
COVID-19
Internet of Things
New technology
Pandemics
Scientific papers
Search engines
Social factors
Statistical methods
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Beschreibung
Zusammenfassung: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.
ISSN:2331-8422
DOI:10.48550/arxiv.2009.05791