Delphi Forecast Reports
GitHub
Repo
Overview
- Check the weekly health checks first: they list missing locations,
horizons, and ensemble components, and the pipeline’s warnings and
errors.
- The weekly fanplots are used by the team to visually inspect the
forecasts.
- The season reports provide a general analysis of the 2024-2025
season’s data and forecaster performance.
- The backtesting reports were pre-season tests of a variety of
forecasters on the 2023-2024 season’s data.
- The current forecaster consists of
- Main component: An AR model using the most recent week and the week
before that, with training data taken from a 7 week window centered on
the date of the forecast in all previous year’s data. This is the
seasonal training window described here
- Minor secondary component: The same model without nssp, but
potentially normalized and using alternative historical sources. This is
described here.
- Backup: climate linear, which combines the historical quantiles with
a linear extrapolation of the most recent data.
- A more detailed description of the forecaster families explored is
on the forecasters page.
Pages
Most recent week
- Covid health
check, forecast 2026-10-28 (rendered 2026-10-28)
- Flu health check,
forecast 2026-10-28 (rendered 2026-10-28)
- Rsv health check,
forecast 2026-10-28 (rendered 2026-10-28)
- Rendered
2026-10-28, rsv_nssp_scoring_individual
- Rendered
2026-10-28, rsv_nssp_scoring_common
- Rendered 2026-10-28,
rsv_nhsn_scoring
- Rendered
2026-10-28, flu_nssp_scoring_individual
- Rendered
2026-10-28, flu_nssp_scoring_common
- Rendered
2026-10-28, flu_nhsn_scoring_individual
- Rendered
2026-10-28, flu_nhsn_scoring_common
- Rendered
2026-10-28, covid_nssp_scoring_individual
- Rendered
2026-10-28, covid_nssp_scoring_common
- Rendered 2026-10-28,
covid_nhsn_scoring