Computational Model Library

Epidemic Simulation with Transportation Simulation (1.0.0)

The Episim framework builds upon the established transportation simulation MATSim and is capable of tracking agents’ movements within a network and thus computing infection chains. Several characteristics of the virus and the environment can be parametred, whilst the infection dynamics is computed based upon a compartment model. The spread of the virus can be mitigated by restricting the agents’ activity in certain places.

Release Notes

This upload is based on the Episim framework (https://github.com/matsim-org/matsim-episim-libs). The RunEpisim.java file controls the simulations. The required input files can be downloaded from DOI 10.17605/OSF.IO/Z2GX6.

Associated Publications

Müller SA, Balmer M, Neumann A, and Nagel K (2020) Mobility traces and spreading of COVID-19. Technische UniversitätBerlin. DOI: http://dx.doi.org/10.14279/depositonce-9835

Joubert JW (2018) Synthetic populations of South African urban areas. Data in Brief 19:1012–1020.DOI:10.1016/j.dib.2018.05.126

Epidemic Simulation with Transportation Simulation 1.0.0

The Episim framework builds upon the established transportation simulation MATSim and is capable of tracking agents’ movements within a network and thus computing infection chains. Several characteristics of the virus and the environment can be parametred, whilst the infection dynamics is computed based upon a compartment model. The spread of the virus can be mitigated by restricting the agents’ activity in certain places.

Release Notes

This upload is based on the Episim framework (https://github.com/matsim-org/matsim-episim-libs). The RunEpisim.java file controls the simulations. The required input files can be downloaded from DOI 10.17605/OSF.IO/Z2GX6.

Version Submitter First published Last modified Status
1.0.0 FG Econophysics FG Econophysics Mon Mar 1 21:30:38 2021 Tue Mar 2 13:20:45 2021 Published

Discussion

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