Lack of harmonisation in immunological data: challenges in synthesising data during the COVID-19 pandemic

Nicole Shaver1, Caroline Colijn2, Jane Heffernan3

  • 1Knowledge Synthesis and Application Unit, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

Ebiomedicine
|March 11, 2026
PubMed

Insights

The COVID-19 pandemic revealed inconsistencies in human immunology research methods. Standardizing reporting and quality assessment tools is crucial for reliable vaccine immunogenicity studies and future public health responses.

Area of Science:

  • Immunology
  • Infectious Disease Research
  • Public Health

Background:

  • The COVID-19 pandemic necessitated rapid development of immune response assays.
  • Laboratory practices became heterogeneous due to changing circumstances, impacting data comparability.
  • Lack of harmonization hindered cross-study findings, evidence synthesis, and policy guidance.

Purpose of the Study:

  • To discuss long-term challenges in standardizing human immunology research highlighted by the pandemic.
  • To argue for standardized reporting and quality assessment in vaccine immunogenicity studies.
  • To propose practical solutions for laboratory practice comparability while maintaining methodological diversity.

Main Methods:

  • Drawing on team experience in synthesizing and modeling vaccine immunogenicity data.
  • Analyzing challenges in laboratory harmonization during a public health crisis.
  • Developing proposals for standardized tools and practices in immunology research.

Main Results:

  • Identified significant heterogeneity in methods, reagents, and reporting across laboratories.
  • Demonstrated how this lack of standardization impedes scientific progress and policy application.
  • Highlighted the need for proactive implementation of standardization before future crises.

Conclusions:

  • Standardization of vaccine immunogenicity studies is essential for robust scientific evidence.
  • Practical solutions can enhance comparability without stifling innovation.
  • Proactive changes will strengthen future research, reduce waste, and improve public health impact.