Researchers at Aalto University, Stanford University, and Texas A&M have discovered that smartwatches could play a crucial role in minimizing the spread of infectious diseases like COVID-19, influenza, and more. Their study, published in 2025, highlights how these devices can detect early signs of infection, potentially curbing the transmission of illnesses before symptoms fully develop.
The study models how smartwatches can accurately identify physiological changes indicative of illness, such as changes in heart rate and skin temperature. These devices have shown up to 88% accuracy in detecting COVID-19 and 90% for the flu before symptoms appear. This early detection can prompt users to reduce social interactions by 66-90%, significantly decreasing transmission rates. Researchers suggest that even a modest reduction in contact can lead to a 40-65% decrease in disease spread, potentially stopping outbreaks in their tracks.
The integration of smartwatches into pandemic management aligns with a broader shift towards personalized health monitoring and data-driven public health strategies. Experts like Märt Vesinurm from Aalto University argue that as smartwatches become more sophisticated, they could help tailor existing public health measures, reducing reliance on blanket approaches like lockdowns. These devices could empower individuals to take proactive measures, such as self-isolating or undergoing further testing, based on early warnings.
As smartwatches become more widespread, their potential to transform pandemic strategies grows. Vesinurm envisions a future where governments might even distribute smartwatches during health crises, balancing ethical considerations with the benefits of early detection. With these advancements, society could be better equipped to handle future pandemics, offering hope for a more informed and prepared public health response.
Article Source: Early Detection of Sickness Using Smartwatches | Technology Networks
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