Epidemiological inferences using public information, influenza H7N9 epidemic in China

Authors

  • Eric H.Y. Lau
  • Jiandong Zheng
  • Tim K. Tsang
  • Qiaohong Liao
  • Bryan Lewis
  • John S. Brownstein
  • Sharon Sanders
  • Sumiko R. Mekaru
  • Caitlin Rivers
  • Gabriel M. Leung
  • Luzhao Feng
  • Benjamin J. Cowling
  • Hongjie Yu

DOI:

https://doi.org/10.5210/ojphi.v7i1.5809

Abstract

Compared to inferences based on the official line list, publicly-available line lists were able to provide generally similar inferences on descriptive epidemiology and transmissibility with little time-lag, but less accurate estimates of severity because of the lack of publicly-available information on discharge dates for recovered cases. Our findings highlight the potential value in constructing a minimum dataset with standardized format and definition, and regular updates of patient status.

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Published

2015-02-26

How to Cite

Lau, E. H., Zheng, J., Tsang, T. K., Liao, Q., Lewis, B., Brownstein, J. S., … Yu, H. (2015). Epidemiological inferences using public information, influenza H7N9 epidemic in China. Online Journal of Public Health Informatics, 7(1). https://doi.org/10.5210/ojphi.v7i1.5809

Issue

Section

Poster Presentations