Skip to main content

POLICY BRIEF article

Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1407841
This article is part of the Research Topic Reviews in Vaccination Programmes View all 10 articles

Policy Brief: Improving national vaccination decision-making through data

Provisionally accepted
Sandra Evans Sandra Evans 1*Joe Schmitt Joe Schmitt 2Dipak Kalra Dipak Kalra 3Tomislav Sokol Tomislav Sokol 4Daphne Holt Daphne Holt 5
  • 1 Sandra Evans Health Policy, Liverpool, United Kingdom
  • 2 Global Health Press, Singapore, Singapore
  • 3 The European Institute for Innovation through Health Data, Gent, Belgium
  • 4 European Parliament, Brussels, Belgium
  • 5 The Coalition for Life Course Immunisation, Brussels, Belgium

The final, formatted version of the article will be published soon.

    Life course immunisation broadens vaccination value across multiple generations, calling for greater data power and multi-disciplinary collaboration. Rapid strides in artificial intelligence, such as machine learning and natural language processing, can enhance data analysis, conceptual modelling, and real-time surveillance. The GRADE process is a valuable tool in informing public health decisions. It must be enhanced by real-world data which can span and capture immediate needs in diverse populations and vaccination administration scenarios. Data analysis from multiple study designs is required to understand the nuances of health behaviours and interventions, address gaps, and mitigate the risk of bias or confounding presented by any single data collection methodology. Secure and responsible health data sharing across European countries can contribute to a deeper understanding of vaccines.

    Keywords: National Immunisation Technical Advisory Groups NIPs, National Immunisation Programs LCI, Life Course Immunisation EHDS, European Health Data Space VPDs, Vaccine-Preventable Diseases RCTs, Randomised Controlled Trials TPP, target product profile

    Received: 27 Mar 2024; Accepted: 02 Dec 2024.

    Copyright: © 2024 Evans, Schmitt, Kalra, Sokol and Holt. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Sandra Evans, Sandra Evans Health Policy, Liverpool, United Kingdom

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.