Example model outputs adapted from forecasts submitted to the FluSight
Forecast Hub for the 2022/23 season. Model outputs data include quantile
,
median
, mean
forecasts of future incident influenza hospitalization
admissions, and pmf
forecasts of hospitalization intensity,
including “low”, “moderate”, “high”, or “very high” intensities.
Hospitalization intensity categories are determined by thresholds for weekly
hospital admissions per 100,000 population. The example model output data
should be viewed only as illustrations of the data formats, not as realistic
examples of forecasts.
example_model_output
example_model_output
A data frame with 70,064 rows and 9 columns:
unique identifier for the model submitting forecasts
FIPS code identifying a location
the starting point of the forecasts
number of weeks ahead being forecasted
the date of occurrence of the outcome of interest;
this can be calculated directly from the reference_date
and horizon
as follows: target_end_date = reference_date + 7*horizon
a unique identifier for the target
the type of representation of the prediction
more identifying information specific to the output type
the model’s prediction
See hubverse documentation, for more information about model output formats.