Modeling seasonality in space-time infectious disease surveillance data.

@article{Held2012ModelingSI,
  title={Modeling seasonality in space-time infectious disease surveillance data.},
  author={Leonhard Held and Michaela Paul},
  journal={Biometrical journal. Biometrische Zeitschrift},
  year={2012},
  volume={54 6},
  pages={
          824-43
        }
}
Infectious disease data from surveillance systems are typically available as multivariate times series of disease counts in specific administrative geographical regions. Such databases are useful resources to infer temporal and spatiotemporal transmission parameters to better understand and predict disease spread. However, seasonal variation in disease notification is a common feature of surveillance data and needs to be taken into account appropriately. In this paper, we extend a time series… CONTINUE READING
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