Our study showed that passively collected sensor data from consenting participants
can provide real-time disease tracking and forecasting. With a growing population
of wearable technology users, these sensor data could be integrated into viral surveillance
programmes.
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Background: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a prothrombotic state, but long-term effects of COVID-19 on incidence of vascular diseases ar
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Researchers quantified the features and risk factors of post-acute COVID-19 syndrome or long COVID based on the integration of survey (active) data and passive [mobile health (mHealth) wearable device] data.
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Our study showed that passively collected sensor data from consenting participants
can provide real-time disease tracking and forecasting. With a growing population
of wearable technology users, these sensor data could be integrated into viral surveillance
programmes.
Lire l'article complet sur : www.thelancet.com