[Zurück]

P. Pichler, F. Miksch, N. Popper, F. Breitenecker:
"Calibration of an Agent-Based Model for Infectious Diseases";
in: "The 2nd International Workshop on Innovative Simulation for Health Care", W. Backfrieder, A. Bruzzone, M. Frascio, F. Longo, V. Novak (Hrg.); Proceedings of the International Workshop on Innovative Simulation for Health Care 2013, Rende (CS), 2013, ISBN: 978-88-97999-26-3, S. 109 - 114.

This paper presents an approach for the calibration of an agent-based model for infectious diseases. The data of an epidemic season is given and the aim is to find a simulation output that reflects the given data. First of all the data has to be investigated. Then, the start and the end of the epidemic have to be detected in the data and
each simulation run. Afterwards the detected epidemic is compared to the original data. A distance function assists to decide whether the simulation run is a good representation of the data or not. The smaller the value of the distance function, the better the data is
represented. The parameter of the simulation with the lowest value of the distance function is used.

calibration, epidemic, detection, HTA

http://publik.tuwien.ac.at/files/PubDat_223619.pdf