About this Dataset

ARCHIVED - CT DPH Influenza And COVID-19 Syndromic Surveillance By Week

Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health events. By tracking symptoms of patients in emergency departments—before a diagnosis is confirmed—public health can detect unusual levels of illness.

Syndromic data can serve as an early warning system for public health concerns such as influenza and COVID-19 outbreaks.

These data represent the percent of emergency department and urgent care visits related to Influenza Like Illness or COVID Like Illness.

Additional Syndromic Surveillance information can be found at https://www.cdc.gov/nssp/overview.html.
Organization: State of Connecticut
Last updated: 2022-11-04T16:40:12.834441
Tags: ct-dph, syndromic-surveillance, sys

Tables

Table 1

@usgov.state_of_connecticut_ct_dph_influenza_and_covid_19_syn_9377c1a3.table_1

17.42 kB
53 rows
16 columns

CREATE TABLE table_1 (
  "state" VARCHAR,
  "fips" BIGINT,
  "displayweek" BIGINT,
  "admitweek" BIGINT,
  "currentreportperiodend" TIMESTAMP,
  "currentfluseasonend" BIGINT,
  "currentfluseasonstart" BIGINT,
  "percentageili_2019_2020" DOUBLE,
  "percentageili_2020_2021" DOUBLE,
  "percentageili_2021_2022" DOUBLE,
  "percentageili_2022_2023" DOUBLE,
  "percentagecli_2019_2020" DOUBLE,
  "percentagecli_2020_2021" DOUBLE,
  "percentagecli_2021_2022" DOUBLE,
  "percentagecli_2022_2023" DOUBLE,
  "dateupdated" TIMESTAMP
);