Key takeaways
- A forecast predicts encounters, such as emergency visits, clinic visits and admissions for flu-like illness, by region and by week, for a horizon you choose.
- H2O Driverless AI builds time series models from surveillance counts, lab results, calendar effects and other signals you already collect.
- The same approach tracks vaccination progress by region and helps reviewers sort free-text adverse event reports faster.
- Forecasts inform planning; your epidemiologists and program leaders make every decision, and H2O makes no clinical efficacy claim.
Every season arrives on its own schedule
Respiratory seasons do not start, peak or end on the same week each year. When your plan rests on last season's curve, you find out late that clinics are full, staff are short, or vaccine stock sits in the wrong county.
Your surveillance data shows what happened last week. Planning needs a view of the next few weeks, region by region, that updates as new counts arrive.