This dataset includes three tables with the model-based projections and estimates as shown on CalCAT in 2025 (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, 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 and Terra-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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
This dataset tracks the updates made on the dataset "CDPH-CalCAT Modeling Nowcasts and Forecasts for COVID-19 and Influenza" as a repository for previous versions of the data and metadata.
This dataset has been temporarily removed as of April 3, 2023. This dataset is still being maintained internally and will be restored after internal processes undergo a transition. Similar data are available from CDPH: https://calcat.covid19.ca.gov/cacovidmodels/.
This dataset displays SARS-CoV-2 lineages identified through whole genome sequencing (WGS) in Marin County by date the sample was collected. There is a minimum 7-day (and up to 21-day) lag in reporting. Not all positive samples in Marin County are sequenced, thus these data may not fully represent the variants circulating in the community. Summarized data can be found in the "Prevalence of Variants of SARS-CoV-2 in Marin County" chart at https://coronavirus.marinhhs.org/surveillance.
More information about variants of SARS-CoV-2 can be found via the CDC at https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-info.html
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This dataset includes three tables with the model-based projections and estimates as shown on CalCAT in 2025 (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, 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 and Terra-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.