Check in daily to help Stanford researchers track COVID-19 symptoms in your neighborhood! Predict where new cases are emerging and discover which symptoms correlate most with the disease. We anonymize all data and never ask for your identity. Spread the word!
Hi everyone! We (@jan_liphardt, @boyuan_chen, @tamara_prstic, @alanchiu) created FeverIQ to give researchers a leading indicator of where COVID-19 might be spreading, and to help them figure out which symptoms are most predictive of having contracted the disease.
Because we encourage you to check in daily, and collect location data to make it possible to predict the geographical spread of the disease, we built FeverIQ with privacy in mind. Locations are downsampled to ~1km, and we never ask for your identity.
We also use the secure computation tech we've developed at Enya.ai to protect your privacy. If you are interested in math or cryptography you might be interested reading more here: https://feveriq.com/technology.html
Even though it's early day, the several hundred contributors have already helped us discover interesting trends: https://feveriq.com/index.html#s...
Please check in daily and share widely with your friends to help science! We would also love to hear your feedback to make this site better and easier to use.
Doctors and scientists - email us (contact at enya.ai) for access to the anonymized data.
Enterprise Should Suck Less: Ep. 20 - Alan Chiu from XSeed Capital