Mobile Sensing in the COVID-19 Era: A Review.
Mobile Sensing in the COVID-19 Era: A Review.
复制标题
DOI：
10.34133/2022/9830476
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Barnes LE
中科院分区：
文献类型：
--
作者：
Wang Z;Xiong H;Tang M;Boukhechba M;Flickinger TE;Barnes LE
在COVID-19大流行期间，移动的传感和数据分析技术已经证明了它们通过收集个人、社区、城市和国家规模的行为、生理和移动数据来监测大流行轨迹的能力。值得注意的是，移动的传感已成为一种有前途的方式来检测个人的感染状态，跟踪长期健康的变化，跟踪社区中的流行病，并监测病毒和亚种的进化。 我们遵循PRISMA实践，审查了60篇关于移动的传感监测COVID-19的合格论文。我们提出了一个分类系统，总结文献的持续时间和人口规模下的移动的传感研究。 我们发现，现有的文献可以自然地分为四组，包括远程检测，长期跟踪，接触者追踪和流行病学研究。我们总结了每个组，并分析了系统设计，健康结果，技术和社会因素的限制方面的代表性作品。我们进一步从技术和应用的角度讨论了移动的传感在传染病中的意义和未来发展方向。 移动的传感技术是有效、高效和灵活的，可以在时间和人群范围内监测COVID-19。在后新冠时代，预计将解决移动的传感技术和社会问题，以改善医疗保健和社会成果。
During the COVID-19 pandemic, mobile sensing and data analytics techniques have demonstrated their capabilities in monitoring the trajectories of the pandemic, by collecting behavioral, physiological, and mobility data on individual, neighborhood, city, and national scales. Notably, mobile sensing has become a promising way to detect individuals' infectious status, track the change in long-term health, trace the epidemics in communities, and monitor the evolution of viruses and subspecies. We followed the PRISMA practice and reviewed 60 eligible papers on mobile sensing for monitoring COVID-19. We proposed a taxonomy system to summarize literature by the time duration and population scale under mobile sensing studies. We found that existing literature can be naturally grouped in four clusters, including remote detection, long-term tracking, contact tracing, and epidemiological study. We summarized each group and analyzed representative works with regard to the system design, health outcomes, and limitations on techniques and societal factors. We further discussed the implications and future directions of mobile sensing in communicable diseases from the perspectives of technology and applications. Mobile sensing techniques are effective, efficient, and flexible to surveil COVID-19 in scales of time and populations. In the post-COVID era, technical and societal issues in mobile sensing are expected to be addressed to improve healthcare and social outcomes.