Colorado Population Data Dashboard

COVID-19 Surveillance

THE COVID-19 SURVEILLANCE DATA IS NO LONGER BEING UPDATED

For information on COVID-19 surveillance indicators, please visit the Colorado Department of Public Health and Environment website.

COVID-19 Over Past 14 Days by County

COVID-19 To Date by County

There is evidence suggesting that various demographic, socio-economic and health risks are associated with different levels of COVID-19 disease severity. Please visit the Centers for Disease Control and Prevention for more information about how these indicators may be connected to different levels of COVID-19 severity.

Adams County COVID-19 Impact & Vulnerability

Past 7 Day Positivity Rate

8.7%

Note: For more information please see description at the bottom of this panel.

COVID-19 Immunization

	Population %	Ranking
Fully-Vaccinated	68.7%	17^th

Snapshot of Past 14 Days

	Rate per 100,000	Ranking
Tests	7,066	41^st
Cases	926	46^th
Hospitalizations	22	27^th
Deaths	5	10^th

	Total count	Ranking
Tests	36,157	6^th
Cases	579	5^th
Hospitalizations	30	7^th
Deaths	3	2^nd

Cumulative COVID-19 Indicators

	Rate per 100,000	Ranking
Tests	251,626	33^rd
Cases	24,507	11^th
Hospitalizations	1,223	22^nd
Deaths	234	27^th

	Total count	Ranking
Cases	163,958	4^th
Hospitalizations	7,881	4^th
Deaths	1,448	4^th

: 81^st - 100^th (Top Quintile)
: 61^st - 80^th
: 41^st - 60^th
: 21^st - 40^th
: 1^st - 20^th (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.