论文标题

Covid-19我们学到了什么?遵循预测性,预防和个性化医学的概念,社会机器和相互连接的设备的兴起

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

论文作者

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

论文摘要

Google Scholar Search支持了PubMed文学和Web of Science Core Collection的Covid大流行的R统计方法的全面参考书目综述。此外,使用医学文献,学术文献,新闻文章和其他可靠的数据源,对不同地区的新方法进行了案例研究回顾。对隐私数据滥用的不信任的公众反应在各个国家 /地区都不同,具体取决于所选的公共交流策略。

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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