Predicting 'Long COVID Syndrome' with Help of a Smartphone App - NIH Director's Blog - 0 views
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Dennis OConnor on 23 Mar 21Recommended by Tyler Orion, Endorsed by DeAunne Denmark, MD, PhD :This is an example of the high quality and thoughtful study design needed to accurately and meaningfully interpret real-world tracking data. This prediction signal would not have been detected in the larger (inconsistently reporting) group, or in those who hadn't tracked enough before getting sick. Which relates to the importance of creating a baseline health timeline and consistently collecting robust, standardized pre-intervention contextual data. And another illustration re: why I keep circling back to these in all of our n-of-1 discussions :)