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Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science
International Journal of Imaging Systems and Technology ( IF 3.3 ) Pub Date : 2021-02-09 , DOI: 10.1002/ima.22552
Vicnesh Jahmunah, Vidya K. Sudarshan, Shu Lih Oh, Raj Gururajan, Rashmi Gururajan, Xujuan Zhou, Xiaohui Tao, Oliver Faust, Edward J. Ciaccio, Kwan Hoong Ng, U. Rajendra Acharya

In 2020 the world is facing unprecedented challenges due to COVID‐19. To address these challenges, many digital tools are being explored and developed to contain the spread of the disease. With the lack of availability of vaccines, there is an urgent need to avert resurgence of infections by putting some measures, such as contact tracing, in place. While digital tools, such as phone applications are advantageous, they also pose challenges and have limitations (eg, wireless coverage could be an issue in some cases). On the other hand, wearable devices, when coupled with the Internet of Things (IoT), are expected to influence lifestyle and healthcare directly, and they may be useful for health monitoring during the global pandemic and beyond. In this work, we conduct a literature review of contact tracing methods and applications. Based on the literature review, we found limitations in gathering health data, such as insufficient network coverage. To address these shortcomings, we propose a novel intelligent tool that will be useful for contact tracing and prediction of COVID‐19 clusters. The solution comprises a phone application combined with a wearable device, infused with unique intelligent IoT features (complex data analysis and intelligent data visualization) embedded within the system to aid in COVID‐19 analysis. Contact tracing applications must establish data collection and data interpretation. Intelligent data interpretation can assist epidemiological scientists in anticipating clusters, and can enable them to take necessary action in improving public health management. Our proposed tool could also be used to curb disease incidence in future global health crises.

中文翻译:

用于 COVID-19 接触者追踪和预测的未来物联网工具:对科学现状的回顾

由于 COVID-19,2020 年世界将面临前所未有的挑战。为了应对这些挑战,正在探索和开发许多数字工具来遏制疾病的传播。由于缺乏疫苗,迫切需要采取一些措施(例如接触者追踪)来避免感染卷土重来。虽然电话应用程序等数字工具具有优势,但它们也带来了挑战和局限性(例如,无线覆盖在某些情况下可能是一个问题)。另一方面,可穿戴设备与物联网 (IoT) 相结合,有望直接影响生活方式和医疗保健,并且它们可能有助于在全球大流行期间及以后进行健康监测。在这项工作中,我们对接触者追踪方法和应用程序进行了文献综述。根据文献回顾,我们发现收集健康数据的局限性,例如网络覆盖不足。为了解决这些缺点,我们提出了一种新颖的智能工具,可用于接触者追踪和 COVID-19 集群的预测。该解决方案包括一个结合了可穿戴设备的电话应用程序,系统中嵌入了独特的智能物联网功能(复杂数据分析和智能数据可视化),以帮助进行 COVID-19 分析。接触者追踪应用程序必须建立数据收集和数据解释。智能数据解释可以帮助流行病学科学家预测集群,并使他们能够采取必要的行动来改善公共卫生管理。我们提出的工具还可用于在未来的全球健康危机中遏制疾病的发生。
更新日期:2021-02-09
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