Corpus ID: 222310265

Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates

@article{Anirudh2020AccurateCO,
  title={Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates},
  author={Rushil Anirudh and Jayaraman J. Thiagarajan and P. Bremer and T. Germann and S. D. Valle and F. Streitz},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.06558}
}
Calibrating complex epidemiological models to observed data is a crucial step to provide both insights into the current disease dynamics, i.e.\ by estimating a reproductive number, as well as to provide reliable forecasts and scenario explorations. Here we present a new approach to calibrate an agent-based model -- EpiCast -- using a large set of simulation ensembles for different major metropolitan areas of the United States. In particular, we propose: a new neural network based surrogate… Expand

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