How Fitbits can help predict flu outbreaks
The Fitbit on your wrist not only counts your steps and minutes of sleep, it can also help tell if you’re coming down with the flu — and warn health authorities to get ready to help.
A study in the US has found that heart rate and sleep data from wearable fitness tracker watches can predict and alert public health officials to realtime outbreaks of flu more accurately than current surveillance methods. The study used data from more than 47,000 Fitbit users in five US states.
The results, published in The Lancet Digital Health journal, showed that by using Fitbit data, statewide predictions of flu outbreaks were improved and accelerated.
The World Health Organisation estimates that as many as 650,000 people worldwide die of respiratory diseases linked to seasonal flu each year.
Traditional surveillance reporting takes up to three weeks, meaning response measures — such as deploying vaccines or antivirals and advising patients to stay at home — can often lag.
“Responding more quickly to influenza outbreaks can prevent further spread and infection, and we were curious to see if sensor data could improve real-time surveillance,” said Jennifer Radin, who co-led that study at the US Scripps Research Translational Institute. Users’ resting heart rate and sleep duration were monitored and flagged as abnormal if the average weekly heart rate was significantly above their overall average and their weekly average sleep was not below their overall average.
This data was compared to the US. Centers for Disease Control’s weekly estimates for flu-like illness. Rosalind Eggo, a public health expert at the London School of Hygiene & Tropical Medicine, said the study suggests fitness trackers hold some promise as a disease surveillance tool. But she said more work is needed “to gauge how reliable these data are over time, how specific these measurements are for flu, and how representative Fitbit users are of the whole population”.
Responding more quickly to influenza outbreaks can prevent further spread and infection