Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined

Metadata Updated: April 27, 2024

2023 Respiratory Virus Response - NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographyeach part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there areis no data available, or the data are too sparseor there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region. 

Note that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA.

For the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”.

For additional information, please see: Companion Guide: NSSP Emergency Department Data on Respiratory Illness

Updated once per week on Fridays.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date January 19, 2024
Metadata Updated Date April 27, 2024
Data Update Frequency R/P1W

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date January 19, 2024
Metadata Updated Date April 27, 2024
Publisher Centers for Disease Control and Prevention
Maintainer
Identifier https://data.cdc.gov/api/views/rdmq-nq56
Data First Published 2023-12-18
Data Last Modified 2024-04-26
Category Public Health Surveillance
Public Access Level public
Data Update Frequency R/P1W
Bureau Code 009:20
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 62dd34d0-a3a9-4bf1-9dc6-1ae322f72c2d
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://data.cdc.gov/d/rdmq-nq56
License https://www.usa.gov/government-works
Old Spatial U.S.
Program Code 009:037
Source Datajson Identifier True
Source Hash cb397118dc4673e89883ccc42d4e4c880854ef57970118d781ca8a19cccb2843
Source Schema Version 1.1
Spatial
Temporal 2022-10-01/2023-01-27

Didn't find what you're looking for? Suggest a dataset here.