Scripps Launches App-Based Study Using Wearable Data to Improve Detection of Viral Illness Outbreaks

What You Should Know:

The Scripps Research Translational Institute launched DETECT, an app-based research study that will analyze wearable data shared by users with the goal of being able to more quickly detect fast-spreading viral illnesses, like flu and coronavirus.

 – Early detection is critical for effective public health response to infectious disease outbreaks and for improving treatments. DETECT connects with smartwatches and activity trackers, including Fitbit devices, to determine if tracking changes in heart rate, activity and sleep at an individual level can provide an early indication of a viral illness outbreak. 

By analyzing key health metrics from participants across the country, Scripps Research scientists believe they can improve real-time tracking of highly contagious respiratory illnesses, which may have particular importance in light of the ongoing flu season and COVID-19 pandemic. 


The Scripps Research Translational Institute has launched an app-based research program named DETECT (Digital Engagement & Tracking for Early Control & Treatment) study that will analyze participants’ wearable health data—including heart rates, sleep and activity levels—to more quickly detect the emergence of influenza, coronavirus, and other fast-spreading viral illnesses.

Leveraging Wearable Data to Improve Predictions of
Influenza-Like Illnesses

At least 1 in 5 US adults use a mobile health app or wearable device—a trend that cuts across nearly all demographic groups and is projected to continue its growth in the coming years. Scripps Research developed the app-based study in partnership with CareEvolution, a health technology company that enables secure and reliable sharing of clinical health information.

Earlier this year, a study by Scripps Research Translational
Institute showed that by analyzing de-identified data from approximately 47,000
users of Fitbit devices equipped with heart rate tracking capabilities, they
could significantly improve predictions of influenza-like
illness at the state level when compared with data from the CDC. The study took
into account factors such as resting heart rate—which tends to rise when the
body is fighting an infection—as well as sleep above a minimum threshold.

“Scripps Research’s prior work has demonstrated that passively collected data from consumer-grade wearable technologies can be not only a valuable marker of recent and current flu-like illnesses, but a promising predictor of an impending illness that may not be perceived by the individual yet,” says Vik Kheterpal, MD, Principal at CareEvolution. “We believe our partnership with Scripps Research will help make this innovative model the norm of our digital age, improving individual health and the public response to viral illnesses, and ultimately, reducing the massive human toll of the annual flu season and other outbreaks.”

Spot Viral Outbreaks

Volunteers who participate in the DETECT study can donate their heart rate,
activity levels and sleep data, as well as logged respiratory symptoms, timing
of treatments they’ve taken, and diagnostic test results. Participants also
have the option to share electronic health record data. This real-time,
crowdsourced information is meant to complement traditional public health
surveillance methods, potentially leading to earlier detection and containment
of current and future outbreaks in various geographical locations. By
evaluating individual changes on a day-to-day basis, researchers hope it also
will be possible to help people identify when they may have a viral infection
much earlier in its course, enabling earlier initiation of treatment and
isolation.

In addition, the DETECT study
platform will provide users with the most current local information and action
guidance from the Centers for Disease Control and Prevention, thereby making
wearable devices a vital ally for the individual, the wider population and
health agencies.

“We’ve known for more than a decade that wearables like Fitbit smartwatches and trackers can help people improve their health and wellness, and have recently seen the potential of Fitbit data to predict influenza-like illness outbreaks in real time,” says James Park, co-founder and CEO of Fitbit. “Our wearables track key health metrics like heart rate, resting heart rate, heart rate variability and sleep patterns, and these indicators across large populations can help alert health officials to potential outbreaks. With the new DETECT study, we’re encouraged to see researchers and consumers working together to validate how health data from wearables can be used as a powerful public health tool for early illness detection, enhancing the ability to track and respond to disease outbreaks like COVID-19 in the future.”

DETECT Study Details

The DETECT study
researchers will work with numerous partners in the digital health
industry, including Fitbit, to encourage the public to participate in the
study. Members of the public who are 18 or older and use a smartwatch or activity
tracker, such as a Fitbit, Apple Watch, Amazfit or Garmin Watch, can join the
study and consent to share their data by downloading the MyDataHelps mobile app. By
harnessing key data points from these users’ wearable devices, scientists
believe they can improve real-time surveillance of contagious respiratory
illnesses. Early detection is critical for effective public health response to
infectious disease outbreaks and for improving treatments.

The DETECT study is designed to be as passive and non-invasive
as possible, with minimum effort required to join. The program will provide
participants with a regular summary of their data and aggregated
population-level summaries. Participants can leave the study at any time. For
more information about the study and how to enroll, visit detectstudy.org.




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