• Output Type: Working Group Supporting Output
  • Output Status: Endorsed
  • Review Period End: 2020-09-21
  • DOI:


  • Group: RDA COVID-19
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  • Non RDA Author(s)

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  • 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.

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  • Primary Domain: Natural Sciences
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  • Group Technology focus: Data (Output) Management Planning
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