A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process

B.T. Markhorst, Nina Malbasic, Tara Zver, Renze Dijkstra, Daan Otto, Dennis Moeke, RD van der Mei

Research output: Contribution to JournalArticleAcademicpeer-review


In this paper, a decision support system (DSS) is presented that focuses on the capacity planning of the COVID-19 vaccination process in the Netherlands. With the Dutch national vaccination priority list as the starting point, the DSS aims to minimize the per-class waiting-time with respect to (1) the locations of the medical hubs (i.e., the vaccination locations) and (2) the distribution of the available vaccines and healthcare professionals (over time). As the user is given the freedom to experiment with different starting positions and strategies, the DSS is ideally suited for providing support in the dynamic environment of the COVID-19 vaccination process. In addition to the DSS, a mathematical model to support the assignment of inhabitants to medical hubs is presented. This model has been satisfactorily implemented in practice in close collaboration with the Dutch Municipal and Regional Health Service (GGD GHOR Nederland).
Original languageEnglish
Article number1181
Pages (from-to)1-13
Number of pages13
Issue number10
Early online date15 Oct 2021
Publication statusPublished - Oct 2021

Bibliographical note

Funding Information:
Funding: Funding for this project has been provided by TKI-Dinalog, GGD-GHOR, the Center for Mathematics and Computer Science, and the Vrije Universiteit Amsterdam.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.


  • COVID-19
  • Decision support system
  • Last-mile
  • Vaccination logistics
  • Vaccination planning


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