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Adaptation and Utilization of a Postmarket Evaluation Model for Digital Contact Tracing Mobile Health Tools in the United States: Observational Cross-sectional Study

Adaptation and Utilization of a Postmarket Evaluation Model for Digital Contact Tracing Mobile Health Tools in the United States: Observational Cross-sectional Study

The AEM provides a comprehensive evaluation framework for clinicians and patients to identify high-quality m Health apps. The framework may work well at a population level with hierarchical layers to explain adoption decisions [16,17]. DCT only functions when all people near each other are using the app. Individuals install DCT apps on their own mobile devices, and these apps must be adopted by a sufficient percentage of a population to be effective [16,17].

Kevin E Cevasco, Amira A Roess

JMIR Public Health Surveill 2023;9:e38633

A Digital Health Initiative (COVIDsmart) for Remote Data Collection and Study of COVID-19’s Impact on the State of Virginia: Prospective Cohort Study

A Digital Health Initiative (COVIDsmart) for Remote Data Collection and Study of COVID-19’s Impact on the State of Virginia: Prospective Cohort Study

Specifically, Virginia is a unique state with a more than 8.5 million population across nearly 40,000 square miles. The population covers large urban coastal areas near Washington DC and the Hampton Roads near North Carolina, and a significant rural region along the Appalachian Mountains.

Josh Schilling, Dave Klein, Marilyn M Bartholmae, Sepideh Shokouhi, Angela J Toepp, Amira A Roess, Joshua M Sill, Matvey V Karpov, Kathleen Maney, K Pearson Brown, Brian L Levy, Keith D Renshaw, Sunita Dodani, Praduman Jain

JMIR Form Res 2023;7:e37550