Longitudinal tracking

[ewels]

The app currently collects repeated entries under the same passcode, essentially building a time series of responses from each person. I think that this is a huge opportunity for getting useful data - with repeat responses we can track the progression through different symptoms: severity, speed of progression and other factors.

Other comparable tools appear to be aiming for this, for example the UK based COVID Symptom Tracker (top tagline: Self-report daily., TechCrunch article on this tool here. Let's Beat Covid19 does the same (Tell us what's changed, Update your status) and Evergreen Life is an app that pings notifications to people for repeat surveys.

All of the main pieces seem to be in place for this in the app here, but I think some things need strengthening:

1. More emphasis needs to be put on repeat survey completions
2. The completed message needs to request that people come back the next day
3. Optional non-identifying tools could potentially remind people potentially?
4. Longitudinal analysis of these results.

Suggestions and feedback welcome!

[mihai-sysbio]

Do any of these tools mention what data they make available, and to whom? From what I could find it sounds they are fairly closed.

[ewels]

I think that they’re quite closed, yes. I think it’s the TC article that mentions that data is anonymised before sharing if anyone requests it (or something). I think immediate sharing via API + download as we have here is much better 👍

But mostly I think it’s just interesting to compare interfaces and focus.

[ewels]

Closing as I realise now that this issue is essentially a dup of several others: https://github.com/BustByte/coronastatus/issues/245#issuecomment-602480544 https://github.com/BustByte/coronastatus/issues/173 https://github.com/BustByte/coronastatus/issues/184 https://github.com/BustByte/coronastatus/issues/259