NetLogo model that allows scenarios concerning general social distancing, shielding of high-risk individuals, and informing contacts when symptomatic. Documentation includes a user manual with some simple scenarios, and technical information including descriptions of key procedures and parameter values.
Reorganised code with auxiliary files for scenarios and export utilities.
Updated default transition probabilities for later data: prob-InfHosp and prob-InfDeath
Added delay to loss of immunity.
Changed the way effective R is calculated, rolling average of a week’s exposures.
Reset trigger at start to avoid carrying settings across subsequent BehaviorSpace runs.
Fixed error that crashed when using loss of immunity.
Badham, Jennifer, Barbrook-Johnson, Pete, Caiado, Camila and Castellani, Brian (2021) ‘Justified Stories with Agent-Based Modelling for Local COVID-19 Planning’ Journal of Artificial Societies and Social Simulation 24 (1) 8 http://jasss.soc.surrey.ac.uk/24/1/8.html. doi: 10.18564/jasss.4532
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