Tom Woolf started development of the Daily24 project when Apple released HealthKit/ResearchKit. This was collaborative work within computer science and the initial App was called Metabolic Compass. The ideas led to an active collaboration across multiple departments, most recently within General Internal Medicine. In particular, Daily24 was part of AHA funded research into the timing-of-eating.

Dr. Woolf’s team brings together researchers within the School of Medicine with expertise in Covid and researchers from the Applied Physics Lab with expertise in risk analysis. Their approach builds from the N3C data repository as well as their own team’s skills with electronic health records.

Our project builds on the Daily24 platform. We will be creating a Covid24 dashboard that helps evaluate real-time risk for Covid. This will integrate local information with user updates to their daily interactions with others via meetings and time in office buildings. The approach should help those using the react-native Covid24 App to have increased awareness of their risks. The underlying data model and analysis builds from survival models. We use AWS for the backend and will have the App available for both iOS and Android.

Our COVID24 App has grown from its beginning as a project aimed at predicting patient risk prior to infection. Our original IDIES proposal was to expand our circadian rhythm based Daily24 App to enable a real-time, data-driven analysis of local risk. We have since added two more research directions to our App development. In these two additional aims we address Long Covid and Acute Respiratory Distress Syndrome (ARDS). With Long Covid we aim to add further understanding to the analysis of risk for major symptoms that have not cleared after an initial COVID infection. Our third tier is to enable faster data-driven analysis of lung function to support a more rapid response to the pre-ICU stage of ARDS.