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.
|Title of host publication||Geographien der Gesundheit|
|Subtitle of host publication||Beitrage zum 50-jahrigen Bestehen des Arbeitskreises Medizinische Geographie und Geographische Gesundheitsforschung in der DGfG|
|Publication status||Published - 13 Sep 2022|
- Agent-based modeling
- Risk perception
- age-specific scenarios
- the Netherlands