Abstract
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 language | English |
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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 |
Pages | 39-55 |
Volume | 6 |
Publication status | Published - 13 Sept 2022 |
Keywords
- Agent-based modeling
- Covid-19
- Risk perception
- age-specific scenarios
- the Netherlands
- NLA