AI sleep data could provide one-week early warning of flu and COVID-19

• Sleep-tracking apps analysing cough patterns can detect flu and COVID-19 approximately one week before symptom onset, potentially enabling early intervention and isolation
• UKHSA research demonstrates feasibility of using real-world digital health data for early outbreak detection at population level, offering public health surveillance advantages
• Integration of wearable device data into clinical practice could support individualised risk stratification and early disease identification, though implementation pathways require further development

UKHSA study finds sleep app cough data can detect respiratory illness and signal outbreaks early.

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