Early results from DETECT study suggest fitness trackers and smartwatches can predict COVID-19 infection Sensor data from wearable devices can complement virus testing and conventional screening to signal new infections.
October 29, 2020
LA JOLLA, CA Examining data from the first six weeks of their landmark DETECT study, a team of scientists from the Scripps Research Translational Institute sees encouraging signs that wearable fitness devices can improve public health efforts to control COVID-19.
The DETECT study, launched on March 25, uses a mobile app to collect smartwatch and activity tracker data from consenting participants, and also gathers their self-reported symptoms and diagnostic test results. Any adult living in the United States is eligible to participate in the study by downloading the research app, MyDataHelps.
In a study published October 29 in Nature Medicine, the Scripps Research team reports that wearable devices like Fitbit are capable of identifying cases of COVID-19 by evaluating changes in heart rate, sleep and activity levels, along with self-reported symptom data and can identify cases with greater success than looking at symptoms alone.
What's exciting here is that we now have a validated digital signal for COVID-19. The next step is to use this to prevent emerging outbreaks from spreading, says Eric Topol, MD, director and founder of the Scripps Research Translational Institute and executive vice president of Scripps Research. Roughly 100 million Americans already have a wearable tracker or smartwatch and can help us; all we need is a tiny fraction of them just 1 percent or 2 percent to use the app.
With data from the app, researchers can see when participants fall out of their normal range for sleep, activity level or resting heart rate; deviations from individual norms are a sign of viral illness or infection.
But how do they know if the illness causing those changes is COVID-19? To answer that question, the team reviewed data from those who reported developing symptoms and were tested for the novel coronavirus. Knowing the test results enabled them to pinpoint specific changes indicative of COVID-19 versus other illnesses.
One of the greatest challenges in stopping COVID-19 from spreading is the ability to quickly identify, trace and isolate infected individuals, says Giorgio Quer, PhD, director of artificial intelligence at Scripps Research Translational Institute and first author of the study. Early identification of those who are pre-symptomatic or even asymptomatic would be especially valuable, as people may potentially be even more infectious during this period. That's the ultimate goal.
For the study, the team used health data from fitness wearables and other devices to identify with roughly 80% prediction accuracy whether a person who reported symptoms was likely to have COVID-19. This is a significant improvement from other models that only evaluated self-reported symptoms.
As of June 7, 30,529 individuals had enrolled in the study, with representation from every U.S. state. Of these, 3,811 reported symptoms, 54 tested positive for the coronavirus and 279 tested negative. More sleep and less activity than an individual's normal levels were significant factors in predicting coronavirus infection.
The predictive model under development in DETECT might someday help public health officials spot coronavirus hotspots early. It also may encourage people who are potentially infected to immediately seek diagnostic testing and, if necessary, quarantine themselves to avoid spreading the virus.
We know that common screening practices for the coronavirus can easily miss pre-symptomatic or asymptomatic cases, says Jennifer Radin, PhD, an epidemiologist at the Scripps Research Translational Institute who is leading the study. And infrequent viral tests, with often-delayed results, don't offer the real-time insights we need to control the spread of the virus.
The DETECT team is now actively recruiting more participants for this important research. The goal to enroll more than 100,000 people, which will help the scientists improve their predictions of who will get sick, including those who are asymptomatic. In addition, Radin and her colleagues plan to incorporate data from frontline essential workers who are at an especially high risk of infection.
Learn more about DETECT at detect.scripps.edu.
The study, Wearable Sensor Data and Self-reported Symptoms for COVID-19 Detection, is authored by Giorgio Quer, Jennifer M. Radin, Matteo Gadaleta, Katie Baca-Motes, Lauren Ariniello, Edward Ramos, Vik Kheterpal, Eric J. Topol and Steven R Steinhubl.
Funding for the research was provided by the National Center for Advancing Translational Sciences at the National Institutes of Health [UL1TR00255].
COVID-19 Translational Medicine Translational Institute Topol, Eric
Most recent headlines
05/01/2027
Worlds first 802.15.4ab-UWB chip verified by Calterah and Rohde & Schwarz to be ...
13/11/2026
The UIM E1 Series wraps its third season this week with the Bombay Sapphire E1 Miami GP, Nov. 11-14, on Biscayne Bay at the Miami Seaplane Base on Watson Island...
13/11/2026
In-venue and creative video staffers at the professional and collegiate level ha...
13/11/2026
Singer-songwriter Benson Boone will headline entertainment for the Discover NHL Winter Classic between the Utah Mammoth and Colorado Avalanche at Rice-Eccles St...
13/11/2026
Blackmagic Design has announced the Blackmagic Ambisonic Microphone, a 7th order ambisonic microphone array that captures spatial audio for immersive video prod...
13/11/2026
SMPTE has announced that The Studio B&H and Riedel Communications will provide the video infrastructure and communications technology for the Solutions Hub at t...
13/11/2026
The Hollywood Professional Association (HPA) has announced the theme and program focus for the 2027 HPA Tech Retreat, which takes place Feb. 14-18, 2027, in La ...
13/11/2026
Football Manager 27 Touch is available on Apple Arcade starting today. The game ...
13/11/2026
MotoGP has announced a two-year media rights agreement with ESPN covering the Un...
13/11/2026
Apple Sports, the free iPhone app, has added the Ultimate Fighting Championship (UFC) to its lineup of supported sports, in time for Saturday's UFC 334. The...
13/11/2026
The NBA and Fanatics Studios, the joint venture between Fanatics and entertainme...
13/11/2026
ESPN held its annual EDGE Innovation Conference last night and offered up an ove...
13/11/2026
Regional sports network gives Ithaca College, SUNY Cortland students a platform to thrive
One of the biggest games in Division III college football will be pla...
13/11/2026
Studer-inspired 500-series PWM compressor unveiled
The HLabs range already includes a couple of Studer-inspired offerings in the form of the PRE169 and EQ16...
13/11/2026
Download Now!
To view the white paper, please enter the following details:
--
First Name* First Name
Company*
Country* Please select your countryA...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Blue Lucy, the workflow orchestration and integration platform for broadcasters, rights owners and localisation companies, today announced an integration with c...
13/11/2026
Krotos announces Black Friday offers on Studio Pro and Studio Max
Brie Clayton November 12, 2026
0 Comments
First-year annual plans start at US$195.99...
13/11/2026
Blackmagic Design Announces Blackmagic Ambisonic Microphone
Brie Clayton November 12, 2026
0 Comments
New 7th order ambisonic microphone with 108 MEMS...
13/11/2026
Meet the Berklee Student Setting Planetary Motion to Music With his compositional platform SoniKosmos, Javier Roqueni aims to make the universe the ultimate i...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , er...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , er...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Share
{alert(Link copied)}).catch(err => {console.error(Failed to copy: , err)}) data-platform=copy_link data-action= class=font-ui-heading py-2 text-sm tex...
13/11/2026
Amagi, the media industry cloud company, today announced a partnership with Golden Times Media Technology (stock code 920021.BJ), a Beijing-based media and tech...
13/11/2026
CGI (TSX: GIB.A) (NYSE: GIB), one of the largest independent IT and business consulting services firms in the world, together with its Malaysian partner, Cedar ...
13/11/2026
SMPTE, the home for media professionals, technologists and engineers, today announced that The Studio B&H and Riedel Communications will provide the video infra...
13/11/2026
iWedia, a global leader in connected TV software solutions, will present its software-first approach to DRAM optimization at Android TV APAC Summit 2026 in Bang...
13/11/2026
Beginning today, November 13, Apple HomeView is available for purchase at Apple Store locations, on the Apple Store online, and in the Apple Store app in select...
13/11/2026
From pediatric research to smart hospitals, AI is helping care teams spend less time on routine tasks and more time with patients.
Health systems and startups...
12/11/2026
Industry leaders examine how Dynamic Media Facility, Media eXchange Layer, and c...
12/11/2026
The junior Tar Heel is embracing the technical and creative challenges of live production while emerging as a leader and mentor in the control room...
12/11/2026
Gracenote, Nielsen's content intelligence business, has released its fifth a...
12/11/2026
RTL Deutschland will bring the NHL to free-to-air TV in Germany starting Nov. 30...
12/11/2026
Clear-Com supported On Air 2026, a 24-hour student-led broadcast connecting 45 u...
12/11/2026
uniqFEED has opened a Remote Operations Center (ROC) in Madrid, Spain. It is already operational, delivering virtual advertising for LaLiga matches. The ROC is ...
12/11/2026
Disney, ESPN and the NBA will present Dunk the Halls, the third real-time animated NBA game using Sony's Beyond Sports data visualization technology, on Chr...
12/11/2026
Van Wagner has launched Van Wagner RELAY, a digital platform for official athlet...
12/11/2026
Deal brings together two of the industry's most established graphics brands and significantly expands Vizrt's footprint in U.S. sports and regional broa...
12/11/2026
Euro TV Production GmbH of Austria has upgraded its outside broadcast vehicle with Lawo technology. The mc 36 Classic console in service since 2019 was replaced...
12/11/2026
Tagboard has launched Spark Resize, an AI-assisted tool now in beta that takes an existing graphic and produces a new version for a different aspect ratio or sc...
Early results from DETECT study suggest fitness trackers and smartwatches can predict COVID-19 infection Sensor data from wearable devices can complement virus testing and conventional screening to signal new infections. 
