Smartwatches and fitness bands reveal individual physiological responses to COVID-19 vaccine
The study, published in npj Digital Medicine, analyzed sensor data on sleep, activity and heart rate from over 5,600 individuals. Among the findings, the team showed that the average resting heart rate of participants significantly increased the day following vaccination. The effect appeared to be stronger after the second dose of the Moderna vaccine, compared to the Pfizer-BioNTech vaccine, and more pronounced in younger individuals.
According to lead author Giorgio Quer, PhD, director of Artificial Intelligence at the Scripps Research Translational Institute, this study is a first step toward quantifying the physiological response to vaccination in individuals using commercial sensors.
“Investigating the physiological signals in the period around vaccination can help us better understand the variability of vaccine response between people, as well as the changes from an individual norm due to vaccination,” Quer says. “As these individual changes are due to a person’s initial immune response to the vaccine, they can potentially help guide future vaccine development to optimize their efficacy and safety, and allow for more precise, individualized vaccine regimens.”
The researchers drew their data from a larger project, called Digital Engagement and Tracking for Early Control and Treatment (DETECT) launched in March 2020, in response to the emergence and rapid spread of SARS-CoV-2, the virus that causes COVID-19. DETECT is a mobile-app research platform that allows participants to share physiological and behavioral data gathered through a fitness band or smartwatch, as well as manually entered symptoms, test results and vaccination status.
To determine whether consumer wearables could unearth digital biomarkers of vaccine-induced immune response, the scientists analyzed DETECT sensor data from two weeks before and after each vaccination dose. They compared post-vaccination changes to the participants’ resting heart rate, sleep and activity levels, to their baselines.
The analysis showed that the average resting heart rate of study participants increased significantly the day following vaccination, peaking two days post-vaccination, and returning to normal four days after the first dose and six days after the second. In addition to increases in resting heart rate being higher after the second dose of the Moderna versus the Pfizer-BioNTech vaccine, the study suggests that prior COVID-19 infection was linked with a significantly higher resting heart rate increase after the first vaccine dose relative to those without prior infection. This increase is consistent with an expected greater immune response for these individuals.
Findings also show that women experienced greater changes than men in resting heart rate in the five days following vaccination after the first dose, and that individuals under the age of 40 had higher changes in resting heart rate than older individuals, but only after the second dose.
Activity and sleep patterns appeared to be minimally affected by the first dose, but a significant decrease in activity and an increase in sleep relative to baseline were observed immediately after the second vaccine dose.
“While the link between physiological response and immune response still requires further investigation, digital tracking could provide a novel way to identify individuals who may not be responding optimally to the vaccine,” says Steven Steinhubl, MD, associate professor at Scripps Research and senior author of the study.
“DETECT really shows the power of wearable sensor data in furthering our understanding of multiple facets of COVID-19,” Quer says. “We hope to continue to expand this research by growing our study cohort further, which will allow us to delve into important questions regarding breakthrough infections and other areas that are currently poorly understood.”
The npj Digital Medicine article, “Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands” is authored by Giorgio Quer, Matteo Gadaleta, Jennifer Radin, Kristian Andersen, Katie-Baca-Motes, Edward Ramos, Eric Topol and Steven Steinhubl.
Funding for the research was provided by the National Center for Advancing Translational Sciences at the National Institutes of Health [UL1TR002550] and the National Institute of Allergy and Infectious Diseases [U19AI135995].
About DETECT
Since its launch, the DETECT (Digital Engagement and Tracking for Early Control and Treatment) study has enrolled over 40,000 participants nationwide. The data that has been shared has enabled scientists to gain valuable insights into various aspects of COVID-19 infection. Already, DETECT has led to several peer-reviewed publications that: show how wearable devices are capable of detecting COVID-19 infection; give valuable insights into long COVID; demonstrate how machine learning techniques can predict COVID-19 infection; and more. The team aims to develop tools to complement traditional public health interventions and bolster the ability to prevent and contain future pandemics. The DETECT study is ongoing. Visit detect.scripps.edu to learn more.