Covid-19 screening tool seeking community contributions
github repo with contribution instructions: https://github.com/tconley/screencovid.com
live app in development: https://tconley.github.io/screencovid.com/
This project is based off a phone call I had with Sajung Yun, PhD from Johns Hopkins. He is very much interested in saving lives, and has analyzed the data available to come up with a simple formula for a covid screener. He created a screening tool, but it wasn't a mobile friendly UX. You can see what he's put together at https://www.screencovid.org/. The goal is to get this new tool production ready by Mon 3/23 at which time it'll be available at screencovid.com
You can view Dr Yun's findings and rationale behind the screening at https://github.com/tconley/screencovid.com/raw/master/Presen...
24 comments
[ 3.2 ms ] story [ 60.0 ms ] threadhttps://news.ycombinator.com/newsguidelines.html
Isn't that something that a significant portion of patients have reported?
The GitHub site is a confusing UI (swiping cards away does what?) and it spills off the side of my screen on mobile - I'm not sure why development is needed here when the original site is totally functional
I would add simple instructions how to use this tool, e.g. "Swipe left for No, left for YES answer". Also do calculation for user, do not show just numbers. Simple if statement at the end of questionnaire should state "Based on {the algorithm} you should consult a doctor immediately". You must emphasize that there is a margin of error.
Sorry?? Why are you sorry to hear that I'm interested in using your tool?
One other rather interesting comparison is: https://drive.google.com/file/d/1DqfSnlaW6N3GBc5YKyBOCGPfdqO... page 26. This may help also develop other differentials that your tool can use. Good luck.
I wanted to make a population health tool that would anonymously collect heart rate data from the Apple Watch together with an approximate location. Increase in resting heart rate during sleep is a good sign of infection.
https://github.com/unrelatedlabs/infection-alert
Could not get it publish, because Apple insists on IRB approval.
Any researched want's to get this through IRB? App is done and open source, backend is also built, the data is supposed to be public.
As I understand it, the weights are just the percentage of COVID+ patients that had each symptom. Fever gets 90.5 points because between 83 and 98% of pts had a fever and (83+98)/2 = 90.5.
The thresholds are back-calculated from recommendations: A 60 year old with a fever and dry cough should see a doctor. Using the point system above, that's 212.9 points, so...that's where the line is drawn.
This feels very adhoc to me, even though the (fractional!) point system makes it seem rigorous.