When formulating and evaluating COVID-19 vaccination strategies, an emphasis has been placed on preventing severe disease that overburdens healthcare systems and leads to mortality. However, more conventional outcomes such as quality-adjusted life years (QALYs) and inequality indicators are warranted as additional information for policymakers. ; LW, SA, PJKL and NH gratefully acknowledge support from the Research Foundation Flanders (FWO) (postdoctoral fellowships 1234620N and 1242021N, RESTORE project G0G2920N and ACCELERATE project G059423N). PJKL. gratefully acknowledges support from the Research council of the Vrije Universiteit Brussel (OZR-VUB via grant number OZR3863BOF). This work also received funding from the European Union’s Horizon 2020 research and innovation programme (NF, PC and NH, European Research Council (ERC) grant number 682540-TransMID; NF, CF, PB and NH grant number 101003688-EpiPose). This work reflects only the authors’ view. The European Commission is not responsible for any use that may be made of the information it contains. This project was also supported by the ESCAPE project (101095619), funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them. PB and NH acknowledge funding from the Antwerp Study Centre for Infectious Diseases (ASCID) and the Methusalem-Centre of Excellence consortium VAX-IDEA. This research acknowledges funding from the Flemish Government through the AI Research Program. We made use of computational resources and services provided by the Flemish Supercomputer Centre (VSC), funded by the FWO and the Flemish Government. Acknowledgements The authors are very grateful for access to data and resources provided by Sciensano, the Belgian institute for health, and from the Vaccine & Infectious Disease Institute (VaxInfectio), ...