Zip code is the zip code of residence, which may not be the location of the exposure. The data are constantly being entered and may change as cases are investigated. All sectors of the economy reopen with new health and hygiene practices permanently in place. IDPH builds in a three-day lag into the data in order to add some cases that are not captured through I-NEDSS (~3% to 5% of the total data) when they publish data at the county-level or region-level on their own website. Either a vaccine is developed to prevent additional spread of COVID-19, a treatment option is readily available that ensures health care capacity is no longer a concern, or there are no new cases over a sustained period. Data on this website are what has been entered into Illinois’ National Electronic Disease Surveillance System (I-NEDSS). Data represent total number of tests performed and reported electronically at IDPH, commercial, or hospital laboratories. Data are updated daily from the IDPH COVID-19 statistics page (). These data are provided by the Surgical Outcomes and Quality Improvement Center (SOQIC) at Northwestern Medicine in partnership with our data analytics collaborator, Jeffrey Softcheck MBA, for informational purposes only. We do not have direct access to the raw data. If there are fewer than 5 ED visits for CLI for 7 days, then the percent is not calculated, due to the small number instability in the percent and <5 will be reported.Ĭounty-level visits are measured by where the patient lives and the date they visited the emergency department.These data are calculated/estimated from publicly available data from IDPH. Percent of weekly CLI ED visits = / x 100. Visits are defined as CLI if the patient presents with a fever AND either cough, difficulty breathing or is given a diagnosis of COVID-19. If there are focal increases in test positivity, even below the 8% threshold, they are flagged and aggressively investigated, and reported to the governor’s team.Įmergency department (ED) visits for COVID-Like Illness (CLI) are collected in near-real time using the Illinois Syndromic Surveillance System for hospitals, which looks at the reason an individual visits an emergency department and diagnosis. IDPH monitors daily many key metrics including test positivity in aggregate, by RESTORE, by EMS, by county and sub county regions to determine if and when additional mitigation actions and interventions are necessary. Counties meeting set targets will be indicated in blue, while counties that are not meeting the targets will be indicated in orange. Each county will be assessed to determine whether it is meeting or exceeding each indicator target. By applying the same metrics to each county, IDPH is using a standardized approach to monitor the state as a whole. The measures are evaluated collectively to determine if multiple indicators are at warning levels. Each metric is individually compared to a target value or expected trend over two consecutive weeks to evaluate the status of COVID-19 disease burden or resource capacity for timely awareness. The county level metrics are presented as weekly values, based on Sunday to Saturday of the week prior to the update. These metrics are intended to be used for local level awareness of each county’s progress during Phase 4 and will help local leaders, businesses, local health departments, and the public make informed decisions and promote healthy behaviors. Many of these county-level indicators are similar to the Restore Illinois criteria and support that larger framework. IDPH is monitoring several indicators that measure the health burden of COVID-19 in each Illinois county and capture a county’s ability to respond.
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