Chromantis

Chromantis studies probabilistic nowcasting and four-week forecasting of influenza, COVID-19 and RSV admissions and emergency-department visits across US states, DC and the native national series.

• Architecture and reflection: model, masks, scientific objective and interpretation.
• Workflow: acquire, build, plan, launch, rank and report.
• Model runs: dated forecasting experiments and the nowcasting section.
• Data: panel, sources, availability and provenance.
• Interactive availability staircase: inspect reporting evidence by week and location.
• Data explorer: inspect source series and revisions.
• Setup: local and Longleaf environments.
• Repository.