• Output Type: Working Group Supporting Output
  • Review Status: Endorsed
  • Review Deadline: 2020-09-21
  • Author(s): Claire Austin
  • Abstract



    RDA COVID-19 Epidemiology 


    Group Co-chair Liaison:  Priyanka Pillai

    Subgroup Moderators:  Claire AustinRajini Nagrani


    Recommendation title:  Sharing COVID-19 Epidemiology Data


    Authors: RDA COVID-19 Epidemiology WG


    DOI: https://doi.org/10.15497/rda00049


    Date last updated: 4th November 2020

    Citation:  RDA COVID-19 Epidemiology WG (2020): Sharing COVID-19 Epidemiology Data, Version 1.0.  DOI: https://doi.org/10.15497/rda00049

    Disclaimer: The views and opinions expressed in this document are those of the individuals identified, and do not necessarily reflect the official policy or position of their respective employers, or of any government agency or organisation.



    An immediate understanding of the COVID-19 disease epidemiology is crucial to slowing infections, minimizing deaths, and making informed decisions about when, and to what extent, to impose mitigation measures, and when and how to reopen society.

    Despite our need for evidence based policies and medical decision making, there is no international standard or coordinated system for collecting, documenting, and disseminating COVID-19 related data and metadata, making their use and reuse for timely epidemiological analysis challenging due to issues with documentation, interoperability, completeness, methodological heterogeneity, and data quality.

    There is a pressing need for a coordinated global system encompassing preparedness, early detection, and rapid response to newly emergent threats such as SARS-CoV-2 virus and the COVID- 19 disease that it causes.
    The intended audience for the epidemiology recommendations and guidelines are government and international agencies, policy and decision makers, epidemiologists and public health experts, disaster preparedness and response experts, funders, data providers, teachers, researchers, clinicians, and other potential users.

  • Group Technology focus: Data (Output) Management Planning
No comments found.