UCSF syndromic surveillance data

[markpletcher]

UCSF runs COVID19 Citizen Science (https://covid19.eurekaplatform.org), which also collects daily syndrome data. It's a much smaller data source, but we appear to have more granular symptom data, and would like to consider contributing. I am one of the PIs (not a developer), so pardon my ignorance. Questions:

• We could produce aggregated data on a daily basis that could be another data source, perhaps "ucsf-survey". How would we actually make that data available through your API and keep it refreshed?
• We could provide signals including the cli symptom cluster you've already defined, but also signals for individual symptoms (e.g., loss of smell, red eyes, gi symptoms, etc) and other clusters (combinations of signals). Could we define whatever signals we want?
• We would easily be able to provide spatial resolution at the level of zip code. Can we define that as a geo_type?
• What would be the next step?

[dfarrow0]

That's wonderful, thanks for reaching out!

I will put you in contact with the PIs on Delphi's end.

In the meantime, high-level answers to your questions:

• delphi ingests data through several mechanisms. examples include: accepting files directly (e.g. scp), syncing files from a third-party service (e.g. dropbox, google drive), fetching files hosted via web interface (e.g. curl or equivalent). in short: delphi can work something out that's convenient for both sides. keeping it refreshed would require some level of automation on both ends.
• possibly, but maybe this is something I should let a PI speak to.
• possibly, but there are some technical challenges there w.r.t. idiosyncrasies of zip coverage and zip non-overlap with e.g. county or hospital referral region
• delphi will be in touch

I'll leave this issue open for tracking until I hear more updates.