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Interpretation of Forecasts of New Hospital Admissions

• Ensemble forecasts combine forecasts from all submitted models into one forecast. These forecasts have been among the most accurate for previous influenza forecasting efforts but may not reliably predict rapid changes in disease trends.
• This week, 31 modeling groups contributed 38 forecasts that were eligible for inclusion in the ensemble forecasts for at least one jurisdiction. Contributing teams are listed below.
• The figure shows the number of new laboratory confirmed influenza hospital admissions reported in the United States each week from November 2024 through March 15, 2025 and forecasted new influenza hospital admissions per week for this week and the next 2 weeks, through April 5, 2025. The colored areas on the graph show prediction intervals, which indicate the bounds of uncertainty around the forecast estimates.

National and State Forecasts

National Forecast

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• Hospitals are required to report weekly laboratory-confirmed influenza hospitalizations to the . See Guidance for Hospital Reporting and FAQs for additional details on this guidance.
• For these data, the following jurisdictions had <80% of hospitals reporting: Alaska, Arkansas, Delaware, Georgia, Hawaii, Iowa, Kansas, Michigan, Missouri, Montana, Nebraska, New Mexico, Nevada, Oklahoma, Puerto Rico, Rhode Island, Texas and Wyoming. Lower reporting rates could impact forecast validity. Percent of hospitals reporting is calculated based on the number of active hospitals reporting complete data to NHSN for a given reporting week.
• Forecast submissions are collected and stored in the , which also contains more detailed information about the forecast data and submission process.

State Forecast

State-level forecasts show the predicted number of new laboratory confirmed influenza hospital admissions per week for this week and the next 2 weeks by state. Each state forecast figure uses a different scale due to differences in the number of new influenza hospital admissions per week between states and only forecasts included in the ensemble are shown. Plots of the state-level ensemble forecasts and the underlying data can be downloaded below.

Additional forecast data and information about are available.

Contributing Teams and Models

(Model: CADPH-FluCAT_Ensemble)

(Model: CMU-TimeSeries)

(Model: CFA_Pyrenew-Pyrenew_HE_Flu)

(Model: CEPH-Rtrend_fluH)

(Model: CU-ensemble)

(Model: fjordhest-ensemble)

(Model: NIH-Flu_ARIMA)

(Model: Gatech-ensemble_point)

(Model: Gatech-ensemble_prob)

(Model: ISU_NiemiLab-GPE)

(Model: JHUAPL-DMD)

(Model: LosAlamos_NAU-CModel_Flu)

(Model: LUcompUncertLab-chimera)

(Model: MDPredict-SIRS)

(Model: Metaculus-cp)

(Model: MIGHTE-Joint)

(Model: MIGHTE-Nsemble)

(Model: NEU_ISI-AdaptiveEnsemble)

(Model: NEU_ISI-FluBcast)

(Model: MOBS-GLEAM_FLUH)

(Model: OHT_JHU-nbxd)

(Model: PSI-PROF)

(Model: PSI-PROF_beta)

(Model: SigSci-TSENS)

(Model: Stevens-ILIForecast)

The Center for Systems Science and Engineering at Johns Hopkins University (Model: JHU_CSSE-CSSE_Ensemble)

(Model: UGA_CEID-Walk)

(Model: UGA_flucast-Copycat)

(Model: UGA_flucast-INFLAenza)

(Model: UI_CompEpi-EpiGen)

(Model: UMass-flusion)

(Model: UNC_IDD-InfluPaint)

(Model: UGuelph-CompositeCurve)

(Model: UGuelphensemble-GRYPHON)

(Model: UM-DeepOutbreak)

(Model: UVAFluX-CESGCN)

(Model: UVAFluX-Ensemble)

(Model: VTSanghani-PRIME)