Author: Berec, L.; Diviak, T.; Kubena, A.; Levinsky, R.; Neruda, R.; Suchoparova, G.; Slerka, J.; Smid, M.; Trnka, J.; Tucek, V.; Vidnerova, P.; Zajicek, M.; Zapletal, F.
Title: Model-M: An agent-based epidemic model of a middle-sized municipality Cord-id: 9sgrx8ty Document date: 2021_5_18
ID: 9sgrx8ty
Snippet: This report presents a technical description of our agent-based epidemic model of a particular middle-sized municipality. We have developed a realistic model with 56 thousand inhabitants and 2.7 million of social contacts. These form a multi-layer social network that serves as a base of our epidemic simulation. The disease is modeled by our extended SEIR model with parameters fitted to real epidemics data for Czech Republic. The model is able to simulate a whole range of non-pharmaceutical inter
Document: This report presents a technical description of our agent-based epidemic model of a particular middle-sized municipality. We have developed a realistic model with 56 thousand inhabitants and 2.7 million of social contacts. These form a multi-layer social network that serves as a base of our epidemic simulation. The disease is modeled by our extended SEIR model with parameters fitted to real epidemics data for Czech Republic. The model is able to simulate a whole range of non-pharmaceutical interventions on individual level, such as protective measures and physical distancing, testing, contact tracing, isolation and quarantine. The effect of government-issued measures such as contact restrictions in different environments (schools, restaurants, vendors, etc.) can also be simulated. The model is implemented in Python and is available as open source at: www.github.com/epicity-cz/model-m/releases
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