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您的检索式：作者名="Mehdi Boukhechba"
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| 1 | Mobile Sensing in the COVID-19 Era:A Review显示文摘Background. During the COVID-19 pandemic, mobile sensing and data analytics techniques have demonstrated their capabilitiesin 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’ infectiousstatus, track the change in long-term health, trace the epidemics in communities, and monitor the evolution of viruses andsubspecies. Methods. We followed the PRISMA practice and reviewed 60 eligible papers on mobile sensing for monitoringCOVID-19. We proposed a taxonomy system to summarize literature by the time duration and population scale under mobilesensing studies. Results. 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 workswith regard to the system design, health outcomes, and limitations on techniques and societal factors. We further discussed theimplications and future directions of mobile sensing in communicable diseases from the perspectives of technology andapplications. Conclusion. Mobile sensing techniques are effective, efficient, and flexible to surveil COVID-19 in scales of timeand populations. In the post-COVID era, technical and societal issues in mobile sensing are expected to be addressed toimprove healthcare and social outcomes. | Zhiyuan Wang Haoyi Xiong Mingyue Tang Mehdi Boukhechba Tabor E.Flickinger Laura E.Barnes | 2022 | Health Data Science2022，，1： | 0 |
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