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Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation.

Frank DignumVirginia DignumPaul DavidssonAmineh GhorbaniMijke van der HurkMaarten JensenChristian KammlerFabian LorigLuis Gustavo LudescherAlexander MelchiorRené MellemaCezara PastravLoïs VanheeHarko Verhagen
Published in: Minds and machines (2020)
During the COVID-19 crisis there have been many difficult decisions governments and other decision makers had to make. E.g. do we go for a total lock down or keep schools open? How many people and which people should be tested? Although there are many good models from e.g. epidemiologists on the spread of the virus under certain conditions, these models do not directly translate into the interventions that can be taken by government. Neither can these models contribute to understand the economic and/or social consequences of the interventions. However, effective and sustainable solutions need to take into account this combination of factors. In this paper, we propose an agent-based social simulation tool, ASSOCC, that supports decision makers understand possible consequences of policy interventions, but exploring the combined social, health and economic consequences of these interventions.
Keyphrases
  • healthcare
  • mental health
  • public health
  • physical activity
  • coronavirus disease
  • sars cov
  • health information
  • risk assessment
  • decision making
  • social media