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

Principal Investigator(s):  View help for Principal Investigator(s) United States Department of Health and Human Services. Centers for Disease Control and Prevention; Public Health Surveillance

Version:  View help for Version V1

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2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined 0

Project Citation: 

United States Department of Health and Human Services. Centers for Disease Control and Prevention, and Public Health Surveillance. 2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-01-11. https://doi.org/10.3886/E243534V1

Project Description

Project Title:  View help for Project Title 2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined
Summary:  View help for Summary 2023 Respiratory Viruses Response – National Syndromic Surveillance Program Emergency Department Visit Trajectories - COVID-19, Flu, RSV, Combined – by state. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geography that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time both as of the given row date and as of the most current data submitted is characterized as increasing, decreasing or stable to provide awareness of how the weekly trend is changing for the given geographic region. For the emergency department time series, trajectory classifications reported on the opening page are based on rolling regression model assessments of the slope for each respiratory illness. Weeks with a significant time term (p <0.05) are classified as increasing when the slope is positive and decreasing when the slope is negative. Weeks with a non-significant time term (p ≥ 0.05) are classified as stable. A 3-week moving average is applied to the time series prior to the regression procedure in order to smooth week-to-week variation. For additional information, please see:Companion Guide: NSSP Emergency Department Data on Respiratory Illness Updated once per week on Fridays. Read less
Original Distribution URL:  View help for Original Distribution URL https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9/about_data

Scope of Project

Subject Terms:  View help for Subject Terms respiratory-virus-response; covid19; coronavirus; flu; rsv; influenza; respiratory-syncytial-virus; emergency-department; nssp; national-syndromic-surveillance-program; rvr; ophdst; ncird
Collection Notes:  View help for Collection Notes (Downloaded 1/10/2026)


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V1 [2026-01-11]

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