Example using simple round numbers to show how an increased percentage of total cases form one day to the next does not always equate to an increased number of cases. IN fact the percent of new cases can decrease WHILE the total percent of all cases rises......This is deceiving and makes it look like the disease is still on the rise, when its actually on the decline.
Day 1:
Current positive cases per million = 10,000
Tested 1000 people, 100 positive results = 1% positive
Day 2:
Current positive cases per million = 10,100 = 1% increase from day 1.
Tested 10,000 people, 200 positive results = .5% positive, down from day 1 with increased testing
Day 3: Current positive cases per million = 10,300 = JUST under a 2% increase from Day 2.
See how the total positives have an increased percent from day 2 to day 3, however the actual percentage of new positive cases are declining?