This paper is in the following e-collection/theme issue:

Use Cases in Human, Animal, and Zoonotic Communicable/Infectious Disease Surveillance (132) Theme Issue: Bayesian Methods In Medical Research (26) Validity, Reliability, and Bias (94) Influenza and Influenza-Like-Illness (ILI) Surveillance (219)

Published on in Vol 6, No 1 (2014):

From Noise to Characterization Tool: Assessing Biases in Influenza Surveillance Methods Using a Bayesian Hierarchical Model

From Noise to Characterization Tool: Assessing Biases in Influenza Surveillance Methods Using a Bayesian Hierarchical Model

From Noise to Characterization Tool: Assessing Biases in Influenza Surveillance Methods Using a Bayesian Hierarchical Model

Authors of this article:

Ying Zhang1 ;   Ali Arab1 ;   Michael A. Stoto1 ;   Bejamin J. Cowling2
The full text of this article is available as a PDF download by clicking here.
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Ying Zhang   1 ;   Ali Arab   1 ;   Michael A. Stoto   1 ;   Bejamin J. Cowling   2

1 Georgetown University, Reston, VA, United States

2 The University of Hong Kong, Hong Kong, Hong Kong.

Corresponding Author:

  • Ying Zhang
  • Georgetown University, Reston, VA, United States