Evaluating Outbreak Detection Methods
Author Information
Author(s): Rochelle E. Watkins, Serryn Eagleson, Robert G. Hall, Lynne Dailey, Aileen J. Plant
Primary Institution: Curtin University of Technology
Hypothesis
There is a need for standardized methods to evaluate outbreak detection methods in public health surveillance.
Conclusion
The varied nature of performance evaluation supports the need for further development of evaluation methods to improve comparability between studies.
Supporting Evidence
- The study reviewed 63 papers that evaluated outbreak detection methods.
- Four main approaches to evaluation were identified: Descriptive, Derived, Epidemiological, and Simulation.
- No single approach was found to be the best for evaluating outbreak detection methods.
Takeaway
This study looks at different ways to check if methods for spotting disease outbreaks are working well, and suggests that using more than one method is better.
Methodology
The study reviewed literature on outbreak detection methods and categorized evaluation approaches based on common features.
Potential Biases
Variability in expert opinion and the absence of a gold standard for defining outbreaks can introduce bias.
Limitations
The lack of standardized evaluation methods makes comparisons difficult and limits knowledge accumulation in the field.
Digital Object Identifier (DOI)
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