Bayesian epidemiological modeling over high-resolution network data.

@article{Engblom2020BayesianEM,
  title={Bayesian epidemiological modeling over high-resolution network data.},
  author={Stefan Engblom and Robin Eriksson and S. Widgren},
  journal={Epidemics},
  year={2020},
  volume={32},
  pages={
          100399
        }
}
  • Stefan Engblom, Robin Eriksson, S. Widgren
  • Published 2020
  • Computer Science, Mathematics, Physics, Biology, Medicine
  • Epidemics
  • Mathematical epidemiological models have a broad use, including both qualitative and quantitative applications. With the increasing availability of data, large-scale quantitative disease spread models can nowadays be formulated. Such models have a great potential, e.g., in risk assessments in public health. Their main challenge is model parameterization given surveillance data, a problem which often limits their practical usage. We offer a solution to this problem by developing a Bayesian… CONTINUE READING
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