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_18
Snippet: The model is an agent-based probabilistic simulation model created with Python and accelerated by the Cython optimising static compiler. The time span covers up to two years starting from Feb 18, 2020, with one day intervals. The model uses the population and age structure of the Helsinki University Hospital District (HUS) in Finland. It follows a population over time at individual level during different stages of the disease. It estimates the nu.....
Document: The model is an agent-based probabilistic simulation model created with Python and accelerated by the Cython optimising static compiler. The time span covers up to two years starting from Feb 18, 2020, with one day intervals. The model uses the population and age structure of the Helsinki University Hospital District (HUS) in Finland. It follows a population over time at individual level during different stages of the disease. It estimates the number of patients in hospitals and in intensive care, including remaining treatment capacity. It also estimates death rates and counts based on the treatment available at each time point.
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