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., Sanders, S., Mekaru, S. R., Rivers, C., Leung, G. M., Feng, L., Cowling, B. J., & 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