UT Grand Rounds visuals

Slide 2: surveillance and action timeline

Slide 4: U.S. influenza surveillance systems

Slide 5: ILINet data

Slide 6: NSSP data

Slide 7: NHSN data

Slide 8: FluSurv-NET data

Slide 9: NREVSS data

Slide 10: surveillance synthesis matrix

Slide 11: normalized surveillance overlay

Slide 12: FluSight forecasts and hospital planning

Slide 13: FluSight forecast targets

Slide 14: A forecast is a distribution

Slide 15: Forecast targets and scoring

Slide 17: Borrowing history from outpatient surveillance

Slide 18: From separate models to shared learning

Slide 19: Texas hospitalization forecasts

Slide 20: Additional surveillance signals

Slide 21: Texas forecasts with wastewater lags

Slide 24: Vaccination timing and remaining burden

Slide 25: Plausible seasons and waning scenarios

Slide 26: The primary model favors weeks 47–48

Slide 27: Timing changes how much protection we keep

Slide 28: The answer depends on how protection wanes

Slide 29: A later date only helps if vaccination still happens

Slide 30: When can forecasts improve the decision?

Slide 31: Can the same rule adapt to an early season?