About this Dataset

Inpatient, Emergency Department, And Outpatient Visits For Respiratory Illnesses

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.
Organization: City of Chicago
Last updated: 2024-10-25T20:31:27.350176
Tags: covid-19, flu, health, public-health, respiratory, syndromic-surveillance

Tables

Table 1

@usgov.city_of_chicago_inpatient_emergency_department_and_out_4c799e6a.table_1

427.31 kB
51,718 rows
13 columns

CREATE TABLE table_1 (
  "mmwr_week" BIGINT,
  "week" BIGINT,
  "week_start" TIMESTAMP,
  "week_end" TIMESTAMP,
  "season" VARCHAR,
  "data_source" VARCHAR,
  "essence_category" VARCHAR,
  "respiratory_category" VARCHAR,
  "visit_type" VARCHAR,
  "demographic_category" VARCHAR,
  "demographic_group" VARCHAR,
  "percent" DOUBLE,
  "current_week_ending" TIMESTAMP
);