Mobile Sensing in the COVID-19 Era: A Review
Background. 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, mobi...
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Makale |
| Dil: | English |
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American Association for the Advancement of Science (AAAS)
2022-01-01
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| Seri Bilgileri: | Health Data Science |
| Online Erişim: | http://dx.doi.org/10.34133/2022/9830476 |
| _version_ | 1828322694197673984 |
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| author | Zhiyuan Wang Haoyi Xiong Mingyue Tang Mehdi Boukhechba Tabor E. Flickinger Laura E. Barnes |
| author_facet | Zhiyuan Wang Haoyi Xiong Mingyue Tang Mehdi Boukhechba Tabor E. Flickinger Laura E. Barnes |
| author_sort | Zhiyuan Wang |
| collection | DOAJ |
| description | Background. 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. Methods. 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. 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 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. Conclusion. 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. |
| first_indexed | 2024-04-13T18:43:54Z |
| format | Article |
| id | doaj.art-de7bb7894dee4684a45a5c3fe47528d6 |
| institution | Directory Open Access Journal |
| issn | 2765-8783 |
| language | English |
| last_indexed | 2024-04-13T18:43:54Z |
| publishDate | 2022-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Health Data Science |
| spelling | doaj.art-de7bb7894dee4684a45a5c3fe47528d62022-12-22T02:34:38ZengAmerican Association for the Advancement of Science (AAAS)Health Data Science2765-87832022-01-01202210.34133/2022/9830476Mobile Sensing in the COVID-19 Era: A ReviewZhiyuan Wang0Haoyi Xiong1Mingyue Tang2Mehdi Boukhechba3Tabor E. Flickinger4Laura E. Barnes5School of Engineering and Applied Science, University of Virginia, Charlottesville, USABig Data Lab, Baidu Research, Baidu Inc., Beijing, ChinaSchool of Engineering and Applied Science, University of Virginia, Charlottesville, USASchool of Engineering and Applied Science, University of Virginia, Charlottesville, USADepartment of Medicine, University of Virginia, Charlottesville, Virginia, USASchool of Engineering and Applied Science, University of Virginia, Charlottesville, USABackground. 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. Methods. 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. 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 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. Conclusion. 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.http://dx.doi.org/10.34133/2022/9830476 |
| spellingShingle | Zhiyuan Wang Haoyi Xiong Mingyue Tang Mehdi Boukhechba Tabor E. Flickinger Laura E. Barnes Mobile Sensing in the COVID-19 Era: A Review Health Data Science |
| title | Mobile Sensing in the COVID-19 Era: A Review |
| title_full | Mobile Sensing in the COVID-19 Era: A Review |
| title_fullStr | Mobile Sensing in the COVID-19 Era: A Review |
| title_full_unstemmed | Mobile Sensing in the COVID-19 Era: A Review |
| title_short | Mobile Sensing in the COVID-19 Era: A Review |
| title_sort | mobile sensing in the covid 19 era a review |
| url | http://dx.doi.org/10.34133/2022/9830476 |
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