Economics at your fingertips  

Justified Stories with Agent-Based Modelling for Local COVID-19 Planning

Jennifer Badham (), Pete Barbrook-Johnson (), Camila Caiado () and Brian Castellani ()
Additional contact information
Pete Barbrook-Johnson:
Camila Caiado:
Brian Castellani:

Journal of Artificial Societies and Social Simulation, 2021, vol. 24, issue 1, 8

Abstract: This paper presents JuSt-Social , an agent-based model of the COVID-19 epidemic with a range of potential social policy interventions. It was developed to support local authorities in North East England who are making decisions in a fast moving crisis with limited access to data. The proximate purpose of JuSt-Social is description, as the model represents knowledge about both COVID-19 transmission and intervention effects. Its ultimate purpose is to generate stories that respond to the questions and concerns of local planners and policy makers and are justified by the quality of the representation. These justified stories organise the knowledge in way that is accessible, timely and useful at the local level, assisting the decision makers to better understand both their current situation and the plausible outcomes of policy alternatives. JuSt-Social and the concept of justified stories apply to the modelling of infectious disease in general and, even more broadly, modelling in public health, particularly for policy interventions in complex systems.

Keywords: Agent-Based Modelling; Epidemic; COVID-19; Descriptive Model; Social Distancing; Justified Stories (search for similar items in EconPapers)
Date: 2021-01-31
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Flaminio Squazzoni ().

Page updated 2021-02-20
Handle: RePEc:jas:jasssj:2020-138-3