[CoachKandSportsguy]

Positivity rate: tests taken and percentage of the daily tests which have a positive result.
If tests taken represent a random sample, then if the number of tests are large enough to be statistically significant, a positive rate can estimate the general population positivity rate within degrees of freedom errors

In general, there are three test populations with the different parameters below:
1) a person gets tested i / walks into a general testing site, no doctor evaluation
2) a person calls his / her doctor, describes symptoms, doctor recommends getting tested after passing symptom checker
(this is the normal evaluation and testing process for most communicable diseases)
3) a person is going into the hospital for a procedure, and is required to be tested for procedure requirements by nurses, doctors, recovery isolation, etc. to prevent further spread.

Analysis:
1) most random and most statistically representative of the general population and if big enough can be used to estimate the population rate
2) rate expected to be high after passing a symptom check, the more tests in this procedure, the more positive tests, potentially the higher the rate. this is the standard non covid test request by a doctor. . this test can be labeled for covid
3) this tests represents the with covid testing rate, and in general is not large enough to be statistically population, but is usually in line with with the general population rate, with wider degrees of freedom for fewer numbers of tests.

The published number, single point, is a blend of these three tested populations, and the published rate will be effected by the size of each population, and in general, can be generalized to the direction up or down, of the population rate of infection. .

Source: coachk's hospital testing populations classifications and test results which are published daily by group

take away, the public numbers are aggregated and this level of analysis is only available in a medical ERP EMR system with all three populations.

just a guy who sleeps with a healthcare data and reporting woman. .