Context

COVIDcast displays signals related to COVID-19 activity levels across the United States, derived from a variety of anonymized, aggregated data sources made available by multiple partners.

One of COVIDcast streams displays results for a CMU-run symptom survey, advertised through Facebook.

Content

This dataset is gathered using the delphi-epidata API and contains covidcast_meta and covidcast datasources.

Presently the dataset contains fb-survey data signal which is based on CMU-run symptom surveys, advertised through Facebook. Using this survey data, CMU estimate the percentage of people in a given location, on a given day that have CLI (covid-like illness = fever, along with cough, or shortness of breath, or difficulty breathing), and separately, that have ILI (influenza-like illness = fever, along with cough or sore throat).

Dataset Description

Files are organized in folders based on the spatial resolution of fb-survey data (state, county, hrr, msa).

Each file contains the percentage of people in a given location, on a given day that have CLI or ILI. Data consists of raw and smoothed estimates and is gathered for all time values available at delphi-epidata.

Each file contains the following columns:

• geo_value - location code
• time_value - time unit (e.g. date) over which underlying events happened
• direction - trend classifier (+1 -> increasing, 0 steady or not determined, -1 -> decreasing)
• value - value (statistic) derived from the underlying data source
• stderr - standard error of the statistic with respect to its sampling distribution, null when not applicable
• sample_size - number of "data points" used in computing the statistic, null when not applicable

Additionally, the dataset contains the most recent covidcast_meta where you can find the summary statistics for fb-survey data.