Data

Data Gathering:

• Five Degrees of Covid: Answer our poll about how many degrees you are away from Covid.  Sort of like "Six Degrees of Kevin Bacon", except there are only five degrees, and it's Covid-19, not Kevin Bacon.
• Long Hauler Tracker: Questionnaire for people who have been infected with Covid-19 to track long-term health outcomes.  We require a valid e-mail address to participate (to confirm that it's a person responding), and we do publish the data, however, we don't publish your e-mail address, and we don't collect any other personally identifying data.

Data Sources:

Our Data Analytics models use data from various published datasets:

Source	Description
European CDC (ECDC)	The ECDC is one of main sources of global case and fatality count time series for many (most?) people tracking COVID-19. The ECDC dataset is also incorporated in the OWID dataset (next item), but the original files from ECDC are also included in case of a discrepancy.
Our World In Data (OWID)	This team is aggregating testing information and a few demographic values, and adding the results to the ECDC's case and fatality count time series. The OWID data file is the one used as the normal baseline source in the Howler model.
Blavatnik School of Government (BSG), University of Oxford	The team at BSG have pulled together time series data incorporating a range of government intervention statuses and economic factors for all countries. This data is integrated into the Howler model.
Google	Through tracking anonymized cell phone movement data, Google has produced a time series dataset showing % up or down in activity in various categories of locales including the increases or decreases in cell phone mobility in various categories of locations, like residential, workplace, retail, parks, etc.
US Center for Disease Control and Prevention / National Center for Health Statistics Death Counts by Week Excess Deaths Associated with COVID 19 Excess Deaths Flu & Pneumonia Mortality	The US CDC and NCHS compiles a variety of information for COVID-19 and other health statistics. The Howler model uses their flu & pneumonia mortality data series for comparing COVID-19 to those other common infectious illnesses. Also included is their provisional COVID-19 fatality counts and excess fatality counts to estimate the number of likely COVID-19 related deaths in the US that have not been captured in the actual reported COVID-19 fatality counts.
Institute for Health Metrics and Evaluation (IHME), University of Washington	The IHME team put out one of the first, and highest profile, COVID-19 models. The Howler model doesn’t use this data directly, but as a cross-check on what the Howler model comes up with.
Alberta Health Services COVID-19 info for Albertans	Daily information on the number of tests, and number of positives, etc, for Alberta and its health regions. This data is used on the "Rhonda's Daily Covid Stats" Dashboard.