[ ] Make sure we have a method that works for low/no data regime, such as
[x] cmu-delphi/exploration-tooling#126
[ ] an alternate data source, such as NSSP and/or wastewater
[ ] adapt to purely weekly forecasts- unclear if that is the data regime we're actually in, but we need to be ready for it if it is. See here for up to date discussion
[ ] Once the data from nhsn is live, do a mock-run of the production forecast to work out any kinks it might have
[x] have a mathematical write-up
[ ] decide on whether and how to do Peak timing, intensity, and sample trajectories
[ ] add NSSP as a fused data source (this works for COVID in addition to Flu)
[ ] cmu-delphi/epipredict#415
@dajmcdon @dshemetov trying to transfer our disparate notes on what to do to an actionable gh issue. Any ideas I missed?
Timelines:
Forecasting hub websites and timing for the link to the meeting at the perfect time!):
All of these are due Wednesday night at 11PM Eastern.
RSV:
website, github likely starting Oct 14 with RSV-NET, moving over to nhsn when available
COVID-19:
github, epiweek totals. They have optional targets of trajectories (doesn't make much sense for us tbh). Likely starting Nov 13
Flu:
no linked website/github yet, similar to last year/ COIVD-19. additional optional targets of peak week and peak intensity, which we may want to consider. I didn't quite catch which of the non-states they were forecasting; I think DC and maybe Puerto Rico? Likely starting Nov 13
Essential
Further steps requiring backtesting
mo
for NSSP)@dajmcdon @dshemetov trying to transfer our disparate notes on what to do to an actionable gh issue. Any ideas I missed?
Timelines: Forecasting hub websites and timing for the link to the meeting at the perfect time!): All of these are due Wednesday night at 11PM Eastern. RSV:
COVID-19:
Flu: