For example, the CDC displayed data that shows how often people were going out in certain parts of the country and related this data on mobility to the level of virus transmission in those areas during specific times. Some states provided data about how communities had been affected by COVID-19. This data was more meant for public health officials and researchers. States also reported some information that was not accessible to the public the restricted data contained more specific fields that could potentially compromise patient privacy. A high number of cases in a state with a small population would mean something different than the same number of cases in a state that is three times as big. Since each state is not the same size, looking at the number of cases or deaths relative to how many people live in the state tells you more about the spread of the virus than simply looking at the raw data. In other cases, you might see the data displayed as “the rate per 1,000 people” within a given timeframe. In some cases, the data was presented as a percentage. Information about COVID testing, hospitalizations, and the number of people who had recovered was also reported. States reported the total number of cases since they started keeping track (which included both confirmed and probable cases-though not all jurisdictions reported these figures) and the number of new cases and deaths reported within the last seven days. States told the CDC about how many cases of COVID they had in the state, as well as how many people had died from COVID.
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