Summit County COVID-19 Impact & Vulnerability
Past 7 Day Positivity Rate
Note: For more information please see description at the bottom of this panel.
COVID-19 Immunization
Population % Ranking Fully-Vaccinated 82.6% 4th
Snapshot of Past 14 Days
Rate per 100,000 Ranking Tests 6,806 42nd Cases 785 54th Hospitalizations 6 50th Deaths 0 61st
Total count Ranking Tests 2,108 23rd Cases 52 17th Hospitalizations 2 20th Deaths 0 61st
Cumulative COVID-19 Indicators
Rate per 100,000 Ranking Tests 317,391 17th Cases 30,280 2nd Hospitalizations 436 59th Deaths 39 59th
Total count Ranking Cases 12,003 17th Hospitalizations 178 31st Deaths 15 48th
81st - 100th (Top Quintile) 61st - 80th 41st - 60th 21st - 40th 1st - 20th (Bottom Quintile)
Note: Darker colors represent higher quintiles. A quintile is a statistical value of a data set that represents 20% of a given population, so the first quintile represents the lowest fifth of the data (1% to20%);the second quintile represents the second fifth (21% to 40%) and so on. For example, if your county has the 7th largest rate for any of the indicators, it ranks in the top quintile (81% to 100%; or 1st largest to 13th largest rate). Having high case, hospitalization or death rates is undesirable; but having high test rates may be a sign that your county has ramped up testing capacity.
Past 7 Day Positivity Rate
As a rule of thumb, one threshold for the percent positive being too high is 5%.
FORMULA: (TOTAL COUNT OF CASES OVER PAST 7 DAYS / TOTAL NUMBER OF TESTS OVER PAST 7 DAYS) * 100
This indicator helps public health officials answer questions such as:
What is the current level of COVID-19 transmission in the community?
Are we doing enough testing for the amount of people who are getting infected?
The percent positive is a critical measure because it gives us an indication how widespread infection is in the area where the testing is occurring—and whether levels of testing are keeping up with levels of disease transmission. A higher percent positive suggests higher transmission and that there are likely more people with coronavirus in the community who haven’t been tested yet.
Please visit the Johns Hopkins University website for more information about positivity rate.