COVID-19 News

NIBIB funds U of Memphis COVID-19 contact tracing app

Researchers at the University of Memphis-based Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) have introduced a new mobile app that may support physical distancing during the COVID-19 pandemic. MD2K is supported by NIH with a grant administered by the National Institute for Biomedical Imaging and Bioengineering (NIBIB).

MD2K launched the new mobile app, called mContain, for download by residents of the greater metropolitan area of Memphis, Tennessee. Once downloaded and installed on a personal mobile device, the mContain app collects location traces and sends notifications to users if they have had a recent encounter with a COVID-19 positive individual. The app is intended to reduce the chance of community transmission by providing an early warning to users who may be at risk.

“Mobile technology can serve an important function in the service of public health, exemplified by the mContain app,” said Tiffani Lash, PhD, director of the NIBIB program in Telehealth. “The MD2K Center will acquire novel expertise from deployment of the app locally during this critical period in the global crisis.”

“Authenticity and anonymity were foremost on the mind of MD2K when designing the mContain app,” said principal investigator and MD2K Director Santosh Kumar, Ph.D., the Lillian and Morrie Moss Chair of Excellence Professor in the Department of Computer Science at the University of Memphis. “Unlike other apps that may collect personal information, use a broadcast notification system, or utilize location scraping services, the mContain app does none of these. When downloaded, the app creates a unique App ID code that is tied to the device – there are no logins, no names, no phone numbers, no email collected.” The app uses anonymous unicast (transmission of information to a single recipient) for all notifications.

The mContain app provides two primary alert services: providing crowding information and notifying users about the risk that they have had contact with a COVID-19-positive individual. The crowding alert feature provides information that should encourage social distancing within the community, indicating concentrations of users. The contact alert is expected to anonymously reduce community transmission of the COVID-19 virus and other infectious diseases.

The data necessary to inform the app about positive test results is collected voluntarily. If a user and their COVID-19 test provider both agree to share the results of their test, the app can notify other users about possible exposures to COVID-19. Upon download and consent, the mContain app produces a unique App ID for each device that is shared with the testing agency. When the test results are generated, the testing agency will first notify the individual of the results; if positive, the agency will submit the results to MD2K using the unique App ID of the individual. From there, a computer algorithm determines positive contacts for the anonymous App ID and unicasts an alert to other app users who may have come into proximity with the positive individual. At no time is the specific time or location revealed, only the day(s) of contact.

Deployment of the app has been coordinated with the Memphis/Shelby County COVID-19 Taskforce but is an independent effort by the MD2K Center and University of Memphis. Memphis area residents can download the free mContain app, which is currently available at the mContain website (www.mContain.org) and via the Google Play Store for Android devices; an iOS version for the Apple App Store will be released within the week.

Downloading the app is an additive measure and does not change the public health advice for residents regarding social distancing and treatment of symptoms.

MD2K is a consortium of 13 universities, headquartered at the University of Memphis. MD2K develops novel mobile technologies to make it easier to gather, analyze, and interpret data from mobile and wearable sensors to reliably quantify physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk.

The MD2K Center of Excellence was established in 2014 via a grant (U54EB020404) administered by the National Institute of Biomedical Imaging and Bioengineering through the trans-NIH Big Data-to-Knowledge (BD2K) initiative.

Read more: https://www.nibib.nih.gov/news-events/newsroom/nih-funded-md2k-center-re...