• Corpus ID: 197468434

Monitoring and predicting influenza epidemics from routinely collected severe case data

@article{Corbella2017MonitoringAP,
  title={Monitoring and predicting influenza epidemics from routinely collected severe case data},
  author={Alice Corbella and Xu-Sheng Zhang and Paul J. Birrell and Nick Boddington and Anne M Presanis and Richard G. Pebody and Daniela De Angelis Mrc Biostatistics Unit and School of Clinical Medicine and University of Cambridge Centre for Infectious Disease Surveillance and Control and Public Health England},
  journal={arXiv: Applications},
  year={2017}
}
Influenza remains a significant burden on health systems. Public health responses should be tailored to the size and timing of any ongoing outbreak. For monitoring purposes, data on severe cases of influenza in England are reported weekly to Public Health England. These data are both readily available and have the potential to provide powerful information for inferring and predicting the features of seasonal and pandemic influenza. We propose an epidemic model which links the underlying… 

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