Background Wearables have been used widely for monitoring health in general, and recent
research results show that they can be used to predict infections based on physiological …

Objective To describe population-level response to influenza-like illness (ILI) as measured
by wearable mobile health (mHealth) devices across multiple dimensions including steps …

Background The burden of influenza-like illness (ILI) is typically estimated via
hospitalizations and deaths. However, ILI-associated morbidity that does not require …

Background Engagement has emerged as a significant cross-cutting concern within the
development of Web-based interventions. There have been calls to institute a more rigorous …

Trials of digital interventions can yield extensive, in-depth usage data, yet usage analyses
tend to focus on broad descriptive summaries of how an intervention has been used by the …

Artificial intelligence-enabled applications on edge devices have the potential to
revolutionize disease detection and monitoring with smart health (sHealth) applications. The …

Over the past decade, there has been a growing interest in using mobile and wearable
systems for healthcare applications. To contribute to this field, our Research Topic on Mobile …

Mobile phones and devices, with their constant presence, data connectivity, and multiple
intrinsic sensors, can support around-the-clock chronic disease prevention and …

As the COVID-19 pandemic continues to unfold and states experience the impacts of
reopened economies, it is critical to efficiently manage new outbreaks through widespread …

Background:“Influenzanet” is a network of Internet-based platforms aimed at collecting real-
time data for influenza surveillance in several European countries. More than 30,000 …