CDPH-CalCAT Modeling Nowcasts and Forecasts for COVID-19 and Influenza

This dataset includes three tables with the model-based projections and estimates as shown on CalCAT in 2024 (http://calcat.cdph.ca.gov) for California state, regions, and counties.

(1) COVID-19 Nowcasts includes the R-effective estimates for COVID-19 from the different models available for the past 80 days from the archive date and the median ensemble thereof.

(2) CalCAT Forecasts includes hospital census and admissions forecasts for COVID-19 and Influenza, ICU census forecasts for COVID-19, and the corresponding ensemble metrics for a 4 week horizon from the archive date.

(3) Variant Proportion Nowcasts contains the Integrated Genomic Epidemiology Dataset (IGED)-based estimates of COVID-19 variants circulating over the past 3 months as well as model-based predictions for the proportions of the variants of concern for dates leading up to the archive date. Prediction intervals are included when available.

This dataset provides CalCAT users with programmatic access to the downloadable datasets on CalCAT.

This dataset also includes a zipped file with the historical archives of the COVID-19 Nowcasts, CalCAT Forecasts and Variant Proportion Nowcasts through 2023.

Data and Resources

Additional Info

Download
Field Value
Public Access Level Public
Rights No restrictions on public use
Program Contact Name CDPH modeling
Program Contact Email [email protected]
Frequency Weekly
Temporal Coverage

April 2020 to present
Source Link http://calcat.cdph.ca.gov
Last Updated May 4, 2024, 18:05 (UTC)
Created December 4, 2023, 23:05 (UTC)
DCAT Issued Date 2023-09-25T18:42:52.756760
DCAT Modified Date 2024-05-03T15:12:11.551153