A review of mobile detection in the era of COVID-19

According to a study published in Health Data Sciencea Scientific Partners Journal.

Behind this work are researchers from the Sensing System for Health Laboratory led by Dr. Laura Barnes at the University of Virginia. They have worked to advance health and well-being using sensor technologies and mobile data analysis.

Portable Sensor, a digital monitoring tool, takes advantage of sensors built into mobile devices such as smartphones and wearables. As mobile sensing has emerged as a promising method for monitoring pandemic trajectories through data collection at individual, community, and global levels, this article has reviewed study designs, expected health outcomes, and current limitations. Work to guide future practice. As such, this article stands out among a group of articles on the use of mobile devices to respond to COVID-19.

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“We reviewed the objectives and designs of 1) current work, 2) duration of detection and population coverage, and 3) outcomes and limitations, to better classify and understand this topic.” says Zhiyuan Wang, a doctoral student at Sensing Systems for Health Lab.

“The present work demonstrated the ability of mobile sensing to not only 1) detect infection status remotely, but also 2) track disease progression longitudinally in order to personal medicine3) passive exposure tracking and 4) global monitoring of the impact of the pandemic on Public Health”Professor Laura Barnes, director of the laboratory, is involved.

However, technical and societal limitations still exist, including data availability and system adoption issues, clinical and application issues, and ethical and privacy issues. These limitations hampered subsequent actions by computer scientists, clinicians, and epidemiologists to take advantage of portable sensing for human health.

Existing or emerging technologies can provide a solution to these limitations. For example, advances in data analytics and machine learning methods can help improve data quality due to its ability to handle sparse, disparate, and multimodal sensor data streams. In addition, mobile sensing can be achieved at larger scales, particularly in clinical settings, by taking advantage of the next generation of sensors and sensing platforms.

Other stakeholders can also have an impact on how mobile discovery provides clinical and social benefits. These efforts can include mitigating potential threats to privacy, equity, and health inequalities; Promote technology and health literacy in all societies; and make joint decisions based on trust and properly balancing risks and benefits.

Barnes and his team want to see more work as computer scientists, clinicians and epidemiologists design and implement the study in collaboration with social science and public policy experts to enable more efficient, scalable, mobile health systems and socially equitable infectious disease.