51 Counties At Warning Level for Coronavirus Disease
The Illinois Department of Public Health (IDPH) on October 23 reported 51 counties in Illinois are considered to be at a warning level for novel coronavirus disease (COVID-19). The number of counties has increased from 34 last week. A county enters a warning level when two or more COVID-19 risk indicators that measure the amount of COVID-19 increase.
Fifty-one counties are currently reported at a warning level – Adams, Bond, Boone, Carroll, Cass, Christian, Clay, Clinton, Crawford, DeKalb, Douglas, Edwards, Fayette, Ford, Franklin, Gallatin, Greene, Hamilton, Henderson, Jersey, Jo Daviess, Johnson, Kane, Kendall, Knox, LaSalle, Lee, Macon, Macoupin, McDonough, McHenry, Mercer, Morgan, Moultrie, Ogle, Perry, Pike, Pulaski, Rock Island, Saline, Shelby, Stephenson, Union, Vermilion, Wabash, Warren, Wayne, Whiteside, Will, Williamson, and Winnebago.
Although the reasons for counties reaching a warning level varies, some of the common factors for an increase in cases and outbreaks are associated with gatherings in people’s homes, weddings and funerals, bars and clubs, university and college parties as well as college sports teams, family gatherings, long-term care facilities, correctional centers, schools, and cases among the community at large, especially people in their 20s.
Public health officials are observing businesses blatantly disregarding mitigation measures, people not social distancing, gathering in large groups, and not using face coverings. Mayors, local law enforcement, state’s attorneys, and other community leaders can be influential in ensuring citizens and businesses follow best practices.
Several counties are taking swift action to help slow spread of the virus, including increasing testing opportunities, stressing the importance of testing to providers, hiring additional contact tracers, working with schools, and meeting with local leaders.
A map and information of each county’s status can be found on the IDPH website at https://www.dph.illinois.gov/countymetrics.