The pandemic caused by SARS-CoV-2 has left an unprecedented impact on health, economy and society worldwide. Emerging strains are making pandemic management increasingly challenging. There is an urge to collect epidemiological, clinical, and physiological data to make an informed decision on mitigation measures. Advances in the Internet of Things (IoT) and edge computing provide solutions for pandemic management through data collection and intelligent computation. While existing data-driven architectures attempt to automate decision-making, they do not capture the multifaceted interaction among computational models, communication infrastructure, and the generated data. In this paper, we perform a survey of the existing approaches for pandemic management, including online data repositories and contact-tracing applications. We then envision a unified pandemic management architecture that leverages the IoT and edge computing to automate recommendations on vaccine distribution, dynamic lockdown, mobility scheduling and pandemic prediction. We elucidate the flow of data among the layers of the architecture, namely, cloud, edge and end device layers. Moreover, we address the privacy implications, threats, regulations, and existing solutions that may be adapted to optimize the utility of health data with security guarantees. The paper ends with a lowdown on the limitations of the architecture and research directions to enhance its practicality.
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
在Google Scholar搜索的支持下，对PubMed文献和Web of Science Core Collection中的COVID大流行进行了R统计方法的全面书目综述。此外，还利用医学文献、学术文献、新闻文章和其他可靠的数据来源，对不同地区出现的新方法进行了案例研究审查。公众对隐私数据滥用的不信任反应因国家而异，这取决于所选择的公共传播策略。
Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries
Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach
Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions
University of Sindh（信德大学）；Institute of Business Administration, University of Sindh（信德大学工商管理学院）；Nimbus Research Centre（尼姆布斯研究中心）；Munster Technological University（芒斯特理工大学）
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Deakin University（迪肯大学）；Griffith University（格里菲斯大学）；Monash University（莫纳什大学）；Stanford University（斯坦福大学）；Kumoh National Institute of Technology（韩国国立金乌工科大学）；Ho Chi Minh City University of Technology (HUTECH)（胡志明市工业大学）；Pusan National University（釜山大学）；University of New South Wales（新南威尔士大学）；Johns Hopkins University（约翰斯·霍普金斯大学）
