Planning and adjusting the COVID-19 booster vaccination campaign to reduce disease burden

Laura Di Domenico, Yair Goldberg, Vittoria Colizza

Research output: Contribution to journalArticlepeer-review

Abstract

As public health policies shifted in 2023 from emergency response to long-term COVID-19 disease management, immunization programs started to face the challenge of formulating routine booster campaigns in a still highly uncertain seasonal behavior of the COVID-19 epidemic. Mathematical models assessing past booster campaigns and integrating knowledge on waning of immunity can help better inform current and future vaccination programs. Focusing on the first booster campaign in the 2021/2022 winter in France, we used a multi-strain age-stratified transmission model to assess the effectiveness of the observed booster vaccination in controlling the succession of Delta, Omicron BA.1 and BA.2 waves. We explored counterfactual scenarios altering the eligibility criteria and inter-dose delay. Our study showed that the success of the immunization program in curtailing the Omicron BA.1 and BA.2 waves was largely dependent on the inclusion of adults among the eligible groups, and was highly sensitive to the inter-dose delay, which was changed over time. Shortening or prolonging this delay, even by only one month, would have required substantial social distancing interventions to curtail the hospitalization peak. Also, the time window for adjusting the delay was very short. Our findings highlight the importance of readiness and adaptation in the formulation of routine booster campaign in the current level of epidemiological uncertainty.

Original languageEnglish
Pages (from-to)150-162
Number of pages13
JournalInfectious Disease Modelling
Volume10
Issue number1
DOIs
StatePublished - Mar 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Keywords

  • Age-structured model
  • COVID-19
  • Immunity waning
  • Inter-dose delay
  • Vaccination strategies

ASJC Scopus subject areas

  • Health Policy
  • Infectious Diseases
  • Applied Mathematics

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