• DMP ID: 10.48321/D1V59V
  • Version: 10 May 2023

This page describes a data management plan written for the Centers for Disease Control and Prevention (cdc.gov) using the DMPTool.

Enhancing U.S. Surveillance of Laboratory Confirmed SARS-CoV-2, Influenza, and other Respiratory Viruses through a Network of Emergency Departments

Contributors to this project

Project details

  • Research domain: Medical and Health Sciences
  • Project Start: November 01, 2021
  • Project End: October 31, 2024
  • Created: September 23, 2021
  • Modified: May 10, 2023
  • Ethical issues related to data that this DMP describes? no

Citation

  • When citing this DMP use:
    jeffrey kline. (2021). "Enhancing U.S. Surveillance of Laboratory Confirmed SARS-CoV-2, Influenza, and other Respiratory Viruses through a Network of Emergency Departments" [Data Management Plan]. DMPHub. https://doi.org/10.48321/D1V59V
  • When connecting to this DMP to related project outputs (such as datasets) use the ID:
    https://doi.org/10.48321/D1V59V

Funding status and sources for this project

Project description

  • This emergency department (ED) surveillance network comprises 24 nodes represented by site investigators at hospital systems in 21 states and the District of Columbia. This work is funded by a contract from the Centers for Disease Control with Wayne State as the prime. The goal of the network is to identify patients who present with acute respiratory illness (e.g. cough or fever). The network report demographic data, vaccination status as identified in the medical record, medical history, viral and other laboratory testing results as well as admission and 30 day outcomes

Planned outputs

Epidemiology of acute respiratory illnesses in the US

Descriptive data on the viral positivity rate broken down by demographic characteristics

  • Format:Data Paper
  • Release timeline:February 23, 2022

Frequency of venous thromboembolism in patients with viral syndromes

Report the 30 day incidence of VTE in patients stratified by viral test resultsĀ 

  • Format:Data Paper
  • Release timeline:April 30, 2022

Other works associated with this research project