Determinants of Outbreak Detection Performance

Authors

  • Nastaran Jafarpour Department of Computer Engineering, Ecole Polytechnique de Montreal, Montreal, Quebec, CANADA
  • Doina Precup McGill University, Montreal, Quebec, CANADA
  • David Buckeridge University, Montreal, Quebec, CANADA

DOI:

https://doi.org/10.5210/ojphi.v5i1.4401

Abstract

The choice of outbreak detection algorithm and its configuration result in variations in the performance of public health surveillance systems. The ability of predicting the performance of detection algorithms under different circumstances will guide the method selection and algorithm configuration. Our work characterizes the dependence of the detection performance on the type and severity of outbreak. We examined the influence of determinants on the performance of C-algorithms and W-algorithms. We used Bayesian Networks to model relationships between determinants and the performance. The results on a sophisticated simulated data set show that algorithm performance can be predicted well using this methodology.

Author Biography

Nastaran Jafarpour, Department of Computer Engineering, Ecole Polytechnique de Montreal, Montreal, Quebec, CANADA

Nastaran Jafarpour received her B.Sc. from Computer Engineering Department, Azad University Central Tehran branch, Iran, in 2006, and the M.Sc. from Computer Engineering Department of University of Isfahan, Iran, in 2010. She is currently a PhD student in Computer Engineering Department, ?�cole Polytechnique de Montr?嬨al, Canada. Her research interest lies in the field of artificial intelligence. She is interested in the applications of machine learning techniques in real-world problems.

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Published

2013-03-23

How to Cite

Jafarpour, N., Precup, D., & Buckeridge, D. (2013). Determinants of Outbreak Detection Performance. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4401

Issue

Vol. 5 No. 1 (2013)

Section

Oral Presentations: Temporal or Spatio-temporal

License

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