Learning from post-COVID-19 condition for epidemic preparedness: a variable catalogue for future post-acute infection

Anna Górska1, Lorenzo Maria Canziani1, Eugenia Rinaldi2

  • 1Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Insights

Standardized data collection is crucial for managing future post-acute infection syndromes (PAIS) following epidemics. A new data catalogue will improve diagnosis, treatment, and preparedness for emerging infectious diseases.

Area of Science:

  • Public Health
  • Infectious Diseases
  • Epidemiology

Background:

  • Post-COVID-19 condition (PCC) highlights the need for better management of post-acute infection syndromes (PAIS).
  • Lack of standardized data during COVID-19 hindered timely diagnosis and treatment of PCC.
  • Preparedness for future epidemic-linked PAIS requires proactive data standardization.

Purpose of the Study:

  • To propose a standardized catalogue of variables for collecting clinical and epidemiological data.
  • To leverage lessons learned from the COVID-19 pandemic for future PAIS research.
  • To facilitate the design of future observational studies and clinical trials for emerging infections.

Main Methods:

  • Review of data from post-COVID-19 condition studies by European-funded COVID-19 research projects.
  • Expertise from the Cohort Coordination Board utilized to develop the data catalogue.
  • Lessons learned from the pandemic informed the proposed variable catalogue.

Main Results:

  • A standardized catalogue of variables for PAIS research has been developed.
  • The catalogue is informed by pandemic experiences and designed for immediate use.
  • The proposed catalogue aims to improve data collection for emerging infections.

Conclusions:

  • Early implementation of the PAIS data catalogue is essential for accelerating identification and management of PAIS.
  • Standardized data collection enables precise syndrome definitions, expedited diagnostics, and optimized treatments.
  • Harmonized protocols enhance preparedness for emerging infections and associated PAIS across global research efforts.
Abstract

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