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, 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.

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, 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.

Evaluation of a Virtual Training to Enhance Public Health Capacity for COVID-19 Infection Prevention and Control in Nursing Homes.

CONTEXT: Between April 2020 and May 2021, the Centers for Disease Control and Prevention (CDC) awarded more than $40 billion to health departments nationwide for COVID-19 prevention and response activities. One of the identified priorities for this investment was improving infection prevention and control (IPC) in nursing homes. PROGRAM: CDC developed a virtual course to train new and less experienced public health staff in core healthcare IPC principles and in the application of CDC COVID-19 healthcare IPC guidance for nursing homes. IMPLEMENTATION: From October 2020 to August 2021, the CDC led training sessions for 12 cohorts of public health staff using pretraining reading materials, case-based scenarios, didactic presentations, peer-learning opportunities, and subject matter expert-led discussions. Multiple electronic assessments were distributed to learners over time to measure changes in self-reported knowledge and confidence and to collect feedback on the course. Participating public health programs were also assessed to measure overall course impact. EVALUATION: Among 182 enrolled learners, 94% completed the training. Most learners were infection preventionists (42%) or epidemiologists (38%), had less than 1 year of experience in their health department role (75%), and had less than 1 year of subject matter experience (54%). After training, learners reported increased knowledge and confidence in applying the CDC COVID-19 healthcare IPC guidance for nursing homes (≥81%) with the greatest increase in performing COVID-19 IPC consultations and assessments (87%). The majority of participating programs agreed that the course provided an overall benefit (88%) and reduced training burden (72%). DISCUSSION: The CDC's virtual course was effective in increasing public health capacity for COVID-19 healthcare IPC in nursing homes and provides a possible model to increase IPC capacity for other infectious diseases and other healthcare settings. Future virtual healthcare IPC courses could be enhanced by tailoring materials to health department needs, reinforcing training through applied learning experiences, and supporting mechanisms to retain trained staff.

Feasibility and Preliminary Efficacy of an Internet-Delivered Intervention for Insomnia in Individuals with Mild Cognitive Impairment.

BACKGROUND: Approximately 50% of older adults with cognitive impairment suffer from insomnia. When untreated, pre-existing cognitive problems may be exacerbated and potentially contribute to further cognitive decline. One promising approach to maintain cognitive health is to improve sleep quantity and quality. OBJECTIVE: To determine feasibility, acceptability, and preliminary efficacy of Sleep Health Using the Internet for Older Adult Sufferers of Insomnia and Sleeplessness (SHUTi OASIS), an Internet-delivered cognitive behavioral therapy for insomnia (CBT-I) program in older adults with mild cognitive impairment (MCI). METHODS: Older adults with MCI and insomnia were recruited from hospital-based memory and sleep disorders clinics and enrolled in a single-arm pilot study. Participants completed the six cores of SHUTi OASIS, over nine weeks with two-week baseline and post-assessments using self-reported sleep diaries. Feasibility and acceptability were informed by usage statistics and qualitative interviews; preliminary efficacy was informed by patient-generated sleep data. RESULTS: Twelve participants enrolled and, on average, were 75.8 years of age. Ten participants completed the study and logged in most days. Most participants reported a positive overall experience, and interviews revealed successful and independent program management and completion. There were significant changes on all baseline to post-assessment sleep measures, including clinically meaningful improvements on the Insomnia Severity Index (13.5 to 8.3, p < 0.01), sleep efficiency, wake after sleep onset, and sleep onset latency (ps < 0.02). There was no statistically significant change in cognitive measures (p > 0.05). CONCLUSION: This study supports that older adults with cognitive impairment can independently complete CBT-I via the Internet and achieve clinical sleep improvements.

Lessons Learned From Clinical Recruitment of Older Adults With MCI for an Internet-Delivered Intervention Study

Clinical research involving participants with mild cognitive impairment (MCI) presents challenges to recruitment that may be further compounded by concerns when delivering a behavioral intervention via the Internet. The purpose of this talk is to describe recruitment adaptations for an Internet-delivered behavioral intervention study with older adults living with MCI and insomnia. Over the course of study recruitment, unforeseen barriers to recruitment were discovered, including fewer older adults with MCI endorsing sleep concerns than expected. The most substantive changes made to improve clinical recruitment were related to eligibility criteria, yielding 50% of the overall sample. Anticipated concerns of older adults with MCI using technology or accessing the Internet were not significant barriers to recruitment. Study findings support Internet-delivered intervention use in this population, which in the context of the COVID-19 pandemic, presents a potentially efficient and effective method for recruiting and delivering behavioral interventions in this difficult-to-enroll population.