Integration of governmental risk perception into a Covid-19 model for the Netherlands

P.W.M. Augustijn, Astrid Herwig, Yuan Chen, Shaheen Abdulkareem

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


Models are valuable tools to evaluate and select Covid-19 mitigation measures, but rarely model governmental behaviour and the social and economic impact of interventions. We enhanced a spatial Covid-19 disease model with an agent-based component, modelling a government agent's risk perception and coping strategy. We tested the model using an age-specific intervention scenario and a RoadMap scenario. Results show that both scenarios lead to a similar reduction in disease numbers, but the age-specific scenario has less social impact as school closure is avoided.
Original languageEnglish
Title of host publicationGeographien der Gesundheit
Subtitle of host publicationBeitrage zum 50-jahrigen Bestehen des Arbeitskreises Medizinische Geographie und Geographische Gesundheitsforschung in der DGfG
Publication statusPublished - 13 Sept 2022


  • Agent-based modeling
  • Covid-19
  • Risk perception
  • age-specific scenarios
  • the Netherlands
  • NLA


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