The Humboldt County Emergency Operations Center today launched a data dashboard at humboldtgov.org to provide up-to-date information about COVID-19 in a format that is easier to access and understand.
This new tool will allow residents to visualize and track virus trends, including the number of confirmed cases over time, the county’s seven-day positivity rate and the time it takes for the case count to double.
Humboldt County Health Officer Dr. Teresa Frankovich said she’s excited to be able to share more comprehensive data with the community.
“This data better communicates important indicators that help us monitor how our county is doing in terms of COVID-19 transmission and whether we are seeing patterns of concern,” Dr. Frankovich said, adding that the dashboard is still a work in progress. “We want to continue to refine and improve the data we share, so we’ll add additional features when possible.”
The following information will be updated on the dashboard daily: Daily total and cumulative total of tests run*
Daily total and cumulative total of confirmed cases
Cumulative total of recovered cases
Daily total and cumulative total of deaths
Cumulative total of hospitalizations
Contact to a known case
Public Health Laboratory testing information
*Beginning today, the number of tests performed will be gathered from the state disease surveillance system, California Reportable Disease Information Exchange (CalREDIE), which includes testing done by the Humboldt County Public Health Laboratory, commercial labs, hospitals and point-of-care testing done in clinic settings.
Note, there is a lag time in reporting into the CalREDIE system. Because of this change, today’s number of tests performed will increase by 2,026. Additional data will be updated each Monday, including the epidemiological curve by episode date, case doubling time, seven-day positivity rate, antibody positivity rate, age distribution, race and ethnicity data, estimated testing rates and estimated confirmed case rates. Data that remains mostly unchanged from week-to-week, like gender distribution, mean age, symptom distribution and gender distribution, will be updated monthly.