Data is updated daily at around 6 pm EST.
What information does this show?
The map in this visualization shows last 7 days average positivity rate in each state. The stacked bar chart to the right of the map shows number of total tests and current hospitalization metrics for selected states. The table below shows all relevant metrics by day per state. The distribution plot (not available on Mobile devices due to dearth of screen space) in the right bottom corner shows distribution of states by cases and total tests.

How to use this visualization?
a. Click on one or multiple states by holding (command on Mac and control on Windows) to see trends.
b. Select State Cohort from the dropdown to select cohort of states.

Data Source: The COVID Tracking Project (https://covidtracking.com/).

Confirmed: Number of people who has COVID-19, confirmed by medical professional or laboratory tests.

Fatal: Coronavirus disease deaths are identified using the ICD–10 code U07.1. Deaths are coded to U07.1 when coronavirus disease 2019 or COVID-19 are reported as a cause that contributed to death on the death certificate. These can include laboratory confirmed cases, as well as cases without laboratory confirmation. If the certifier suspects COVID-19 or determines it was likely (e.g., the circumstances were compelling within a reasonable degree of certainty), they can report COVID-19 as “probable” or “presumed” on the death certificate (5, 6). COVID-19 is listed as the underlying cause on the death certificate in 94% of deaths (more info on www.cdc.gov).

Hospitalizations: Number of people currently hospitalized due to COVID-19 as reported by county and state department of health or other government health agency.

Positivity %: Percent of people tested positive for COVID-19. As the states ramp up testing - it is expected this number to go down if prevalence of COVID-19 is stable or decreasing.

Daily Total Tests: Total number of tests conducted on a particular day. This includes positive and negative outcomes. It helps in understanding whether the spread is increasing or decreasing. One argument made by various government agencies is that as we test more - the positivity rate would drop, indicating receding of the disease. This should be read in conjunction with confirmed cases, hospitalizations and positivity rate.

On its own, these metrics are useful indicators but, they should be read as trends over a period and analyzed collectively. A short spike may indicate variability in reporting timing.