NOTE: This dataset has been retired and marked as historical-only. This dataset is a companion to the COVID-19 Daily Cases and Deaths dataset (https://data.cityofchicago.org/d/naz8-j4nc). The major difference in this dataset is that the case, death, and hospitalization corresponding rates per 100,000 population are not those for the single date indicated. They are rolling averages for the seven-day period ending on that date. This rolling average is used to account for fluctuations that may occur in the data, such as fewer cases being reported on weekends, and small numbers. The intent is to give a more representative view of the ongoing COVID-19 experience, less affected by what is essentially noise in the data. All rates are per 100,000 population in the indicated group, or Chicago, as a whole, for “Total” columns. Only Chicago residents are included based on the home address as provided by the medical provider. Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted based on the date the test specimen was collected. Deaths among cases are aggregated by day of death. Hospitalizations are reported by date of first hospital admission. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation. Denominators are from the U.S. Census Bureau American Community Survey 1-year estimate for 2018 and can be seen in the Citywide, 2018 row of the Chicago Population Counts dataset (https://data.cityofchicago.org/d/85cm-7uqa). All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects cases and deaths currently known to CDPH. Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases and deaths, sources used, how cases and deaths are associated to a specific date, and similar factors. Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office, U.S. Census Bureau American Community Survey

NOTE: This dataset has been retired and marked as historical-only.

Only Chicago residents are included based on the home ZIP Code, as provided by the medical provider, or the address, as provided by the Cook County Medical Examiner.

Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted on the date the test specimen was collected. Deaths are those occurring among cases based on the day of death. Hospitalizations are based on the date of first hospitalization. Only one hospitalization is counted for each case. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation.

Because of the nature of data reporting to CDPH, hospitalizations will be blank for recent dates They will fill in on later updates when the data are received, although, as for cases and deaths, may continue to be updated as further data are received.

All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH.

Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases, deaths, and hospitalizations, sources used, how cases, deaths and hospitalizations are associated to a specific date, and similar factors.

Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office

Hospitalization Discharge Rates in Lake County, Illinois. Explanation of field attributes:

Anxiety Disorder - Anxiety disorders are characterized by excessive fear or stress that is difficult to control and negatively and substantially impacts daily functioning. This is a rate per 100,000.

Mood Disorder – Mood disorders are characterized by the elevation or lowering of a person's mood, such as depression or bipolar disorder. This is a rate per 100,000.

Alcohol Rehabilitation – Alcohol rehabilitation is a term for the medical and/or psychotherapeutic treatment for dependency on alcohol. This is a rate per 100,000.

Diabetes – Diabetes is a chronic disease in which blood sugar (glucose) levels are above normal. This is a rate per 100,000.

Hypertension – Hypertension is a chronic disease in which blood pressure (the force of the blood flowing blood vessels) is consistently high. This is a rate per 100,000.

Asthma - Asthma is a condition in which airways narrow, swell, and produce extra mucus leading to difficulty in breathing. This is a rate per 100,000.

Senior Falls Emergency Room Visit – Senior falls refers to individuals who are 65 years or older who have a fall and injure themselves. This is a rate per 100,000.

Hospital Discharges – Hospital discharge is defined as the release of a patient who has stayed at least one night in hospital. This is a rate per 100,000.

Mental Health Emergency Room Visit – Mental health conditions/ or mental illnesses refer to disorders generally characterized by dysregulation of mood, thought, and/or behavior. This is a rate per 100,000.

Total Mental Health – Mental health conditions/ or mental illnesses refer to disorders generally characterized by dysregulation of mood, thought, and/or behavior. This is a rate per 100,000.

Total Ambulatory Care Sensitive Conditions – Ambulatory Care Sensitive Conditions (ACSCs) are defined as conditions where effective community care and case management can help prevent the need for hospital admission. This is a rate per 100,000.

This dataset includes aggregated weekly data on the percent of emergency department visits and the percent of hospital inpatient admissions due to influenza-like illness (ILI), COVID-19, influenza, RSV, and acute respiratory illness. The Illinois Department of Public Health (IDPH) collects data for Emergency Department visits to all 185 acute care hospitals in Illinois. The data are submitted from IDPH to the CDC’s BioSense Platform for access and analysis by health departments via the ESSENCE system.

The CDC National Syndromic Surveillance Program (NSSP) utilizes diagnostic codes and clinical terms to create definitions for diagnosed COVID-19, influenza, RSV, and acute respiratory illness. For more information on diagnostic codes and clinical terms used, visit: https://www.cdc.gov/nssp/php/onboarding-resources/companion-guide-ed-data-respiratory-illness.html

The data is characterized by selected demographic groups including age group and race/ethnicity.

The dataset also includes percent of weekly outpatient visits due to ILI as reported by several outpatient clinics throughout Chicago that participate in CDC’s Influenza-like Illness Surveillance Network (ILINet).

For more information on ESSENCE, see https://www.dph.illinois.gov/data-statistics/syndromic-surveillance

For more information on ILINet, see https://www.cdc.gov/fluview/overview/index.html#cdc_generic_section_3-outpatient-illness-surveillance

All data are provisional and subject to change. Information is updated as additional details are received. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources.

Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Wayne County, IL (DISCONTINUED) (DMPCRATE017191) from 2008 to 2015 about Wayne County, IL; preventable; admissions; hospitals; IL; 5-year; rate; and USA.

Financial overview and grant giving statistics of Southern Illinois Hospital Services

Financial overview and grant giving statistics of Illinois Hospital Research And Educational Foundation

Layers in this service includes: Birth, Cancer, Hospitalization Discharge, Mortality and STI Rates, as well as Demographics.

Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Will County, IL (DISCONTINUED) (DMPCRATE017197) from 2008 to 2015 about Will County, IL; preventable; admissions; hospitals; Chicago; IL; 5-year; rate; and USA.

Financial overview and grant giving statistics of Illinois Valley Community Hospital Foundation

🇺🇸 미국 English Hospitalization Discharge Rates in Lake County, Illinois. Explanation of field attributes: Anxiety Disorder - Anxiety disorders are characterized by excessive fear or stress that is difficult to control and negatively and substantially impacts daily functioning. This is a rate per 100,000. Mood Disorder – Mood disorders are characterized by the elevation or lowering of a person's mood, such as depression or bipolar disorder. This is a rate per 100,000. Alcohol Rehabilitation – Alcohol rehabilitation is a term for the medical and/or psychotherapeutic treatment for dependency on alcohol. This is a rate per 100,000. Diabetes – Diabetes is a chronic disease in which blood sugar (glucose) levels are above normal. This is a rate per 100,000. Hypertension – Hypertension is a chronic disease in which blood pressure (the force of the blood flowing blood vessels) is consistently high. This is a rate per 100,000. Asthma - Asthma is a condition in which airways narrow, swell, and produce extra mucus leading to difficulty in breathing. This is a rate per 100,000. Senior Falls Emergency Room Visit – Senior falls refers to individuals who are 65 years or older who have a fall and injure themselves. This is a rate per 100,000. Hospital Discharges – Hospital discharge is defined as the release of a patient who has stayed at least one night in hospital. This is a rate per 100,000. Mental Health Emergency Room Visit – Mental health conditions/ or mental illnesses refer to disorders generally characterized by dysregulation of mood, thought, and/or behavior. This is a rate per 100,000. Total Mental Health – Mental health conditions/ or mental illnesses refer to disorders generally characterized by dysregulation of mood, thought, and/or behavior. This is a rate per 100,000. Total Ambulatory Care Sensitive Conditions – Ambulatory Care Sensitive Conditions (ACSCs) are defined as conditions where effective community care and case management can help prevent the need for hospital admission. This is a rate per 100,000.

Financial overview and grant giving statistics of Childrens Hospital Of Illinois Medical Group

Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org.

This dataset contains the annual number of hospital discharges, crude hospitalization rates with corresponding 95% confidence intervals, and age-adjusted hospitalization rates with corresponding 95% confidence intervals, for the years 2000 – 2011, by Chicago U.S. Postal Service ZIP code or ZIP code aggregate. See the full description at http://bit.ly/Os5wnn.

NOTE: This dataset has been retired and marked as historical-only.

Weekly rates of COVID-19 cases, hospitalizations, and deaths among people living in Chicago by vaccination status and age.

Rates for fully vaccinated and unvaccinated begin the week ending April 3, 2021 when COVID-19 vaccines became widely available in Chicago. Rates for boosted begin the week ending October 23, 2021 after booster shots were recommended by the Centers for Disease Control and Prevention (CDC) for adults 65+ years old and adults in certain populations and high risk occupational and institutional settings who received Pfizer or Moderna for their primary series or anyone who received the Johnson & Johnson vaccine.

Chicago residency is based on home address, as reported in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE) and Illinois National Electronic Disease Surveillance System (I-NEDSS).

Outcomes: • Cases: People with a positive molecular (PCR) or antigen COVID-19 test result from an FDA-authorized COVID-19 test that was reported into I-NEDSS. A person can become re-infected with SARS-CoV-2 over time and so may be counted more than once in this dataset. Cases are counted by week the test specimen was collected. • Hospitalizations: COVID-19 cases who are hospitalized due to a documented COVID-19 related illness or who are admitted for any reason within 14 days of a positive SARS-CoV-2 test. Hospitalizations are counted by week of hospital admission. • Deaths: COVID-19 cases who died from COVID-19-related health complications as determined by vital records or a public health investigation. Deaths are counted by week of death.

Vaccination status: • Fully vaccinated: Completion of primary series of a U.S. Food and Drug Administration (FDA)-authorized or approved COVID-19 vaccine at least 14 days prior to a positive test (with no other positive tests in the previous 45 days). • Boosted: Fully vaccinated with an additional or booster dose of any FDA-authorized or approved COVID-19 vaccine received at least 14 days prior to a positive test (with no other positive tests in the previous 45 days). • Unvaccinated: No evidence of having received a dose of an FDA-authorized or approved vaccine prior to a positive test.

CLARIFYING NOTE: Those who started but did not complete all recommended doses of an FDA-authorized or approved vaccine prior to a positive test (i.e., partially vaccinated) are excluded from this dataset.

Incidence rates for fully vaccinated but not boosted people (Vaccinated columns) are calculated as total fully vaccinated but not boosted with outcome divided by cumulative fully vaccinated but not boosted at the end of each week. Incidence rates for boosted (Boosted columns) are calculated as total boosted with outcome divided by cumulative boosted at the end of each week. Incidence rates for unvaccinated (Unvaccinated columns) are calculated as total unvaccinated with outcome divided by total population minus cumulative boosted, fully, and partially vaccinated at the end of each week. All rates are multiplied by 100,000.

Incidence rate ratios (IRRs) are calculated by dividing the weekly incidence rates among unvaccinated people by those among fully vaccinated but not boosted and boosted people.

Overall age-adjusted incidence rates and IRRs are standardized using the 2000 U.S. Census standard population.

Population totals are from U.S. Census Bureau American Community Survey 1-year estimates for 2019.

All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. This dataset reflects data known to CDPH at the time when the dataset is updated each week.

Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined.

For all datasets related to COVID-19, see https://data.cityofchic

Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Cook County, IL (DISCONTINUED) (DMPCRATE017031) from 2008 to 2015 about Cook County, IL; preventable; admissions; hospitals; Chicago; IL; 5-year; rate; and USA.

In Illinois, influenza associated Intensive Care Unit (ICU) hospitalizations are reportable as soon as possible, but within 24 hours. Influenza associated ICU hospitalizations are defined as individuals hospitalized in an ICU with a positive laboratory test for influenza A or B, including specimens identified as influenza A/H3N2, A/H1N1pdm09, and specimens not subtyped (e.g., influenza positive cases by PCR or any rapid test such as EIA).

This dataset represents weekly aggregated information for influenza-associated ICU hospitalizations among Chicago residents, which is a reportable condition in Illinois.

Information includes demographics, influenza laboratory results, vaccination status, and death status.

Column names containing "REPORTED" indicate the number of cases for which the indicated data element was reported. This, rather than the total number of cases, is used to calculate the corresponding percentage.

All data are provisional and subject to change. Information is updated as additional details are received. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Layers in this service includes: Birth, Cancer, Hospitalization Discharge, Mortality and STI Rates, as well as Demographics.

Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Putnam County, IL (DISCONTINUED) (DMPCRATE017155) from 2008 to 2015 about Putnam County, IL; preventable; admissions; hospitals; IL; 5-year; rate; and USA.

NOTE: This dataset is no longer being updated but is being kept for historical reference. For current data on respiratory illness visits and respiratory laboratory testing data please see Influenza, COVID-19, RSV, and Other Respiratory Virus Laboratory Surveillance and Inpatient, Emergency Department, and Outpatient Visits for Respiratory Illnesses. This dataset includes aggregated weekly metrics of the surveillance indicators that the Department of Public Health uses to monitor influenza activity in Chicago. These indicators include: Influenza-associated ICU hospitalizations for Chicago residents, which is a reportable condition in Illinois (HOSP_ columns) Influenza laboratory data provided by participating sentinel laboratories in Chicago (LAB_ columns) Influenza-like illness data for outpatient clinic visits and emergency department visits. (ILI_ columns) For more information on ILINET, see https://www.cdc.gov/flu/weekly/overview.htm#anchor_1539281266932. For more information on ESSENCE, see https://www.dph.illinois.gov/data-statistics/syndromic-surveillance All data are provisional and subject to change. Information is updated as additional details are received. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources.

Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org.

This dataset contains the annual number of hospital discharges, crude hospitalization rates with corresponding 95% confidence intervals, and age-adjusted hospitalization rates (per 10,000 children and adults aged 5 to 64 years) with corresponding 95% confidence intervals, for the years 2000 – 2011, by Chicago U.S. Postal Service ZIP code or ZIP code aggregate. See the full dataset description for more information at http://bit.ly/PKI8p0.