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.