Author: Jouni T Tuomisto; Juha Yrjölä; Mikko Kolehmainen; Juhani Bonsdorff; Jami Pekkanen; Tero Tikkanen
Title: An agent-based epidemic model REINA for COVID-19 to identify destructive policies Document date: 2020_4_14
ID: 9qdl3jt9_16
Snippet: The basic logic of SEIR models can be implemented also as agent-based simulations, which follow agents, or individuals of a population, and their fate through a timeline day by day. The agents interact and get infected, tested, treated, and hospitalized. Policies can be added on the timeline based on actual events or into the future to assess their potential impacts. Additionally, the value of R t (and specifically R 0 ) is an emergent property a.....
Document: The basic logic of SEIR models can be implemented also as agent-based simulations, which follow agents, or individuals of a population, and their fate through a timeline day by day. The agents interact and get infected, tested, treated, and hospitalized. Policies can be added on the timeline based on actual events or into the future to assess their potential impacts. Additionally, the value of R t (and specifically R 0 ) is an emergent property and can be calculated based on the simulation and tracked throughout the epidemic timeline. Such a tool is especially valuable when it is calibrated with an actual population, age structure, contact matrix, and events. not be done during the weeks to come? What can be learned from the performance and realism of the agent-based model?
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