Template-driven spatial-temporal outbreak simulation for outbreak detection evaluation
- PMID: 18999301
- PMCID: PMC2655995
Template-driven spatial-temporal outbreak simulation for outbreak detection evaluation
Abstract
We developed a non-disease specific template-driven spatial-temporal outbreak simulator for evaluating outbreak detection algorithms. With only a few outbreak parameter settings, our simulator can generate different patterns of outbreak cases either temporally or spatial-temporally using three different generation algorithms: deterministic, independent, Poisson process. Our simulator is flexible, easy to implement and provides case event times rather than aggregated counts. We provide examples of outbreak simulations using linear template functions. Our Template-Driven Simulator is a useful tool for evaluating of outbreak detection algorithms.
Figures
References
-
- Wong W-K, Moore AW. Classical time-series methods for biosurveillance. In: Wagner MM, Moore AW, Aryel RA, editors. Handbook of biosurveillance. New York: Academic Press; 2006. pp. 217–234.
-
- Lawson AB, Kleinman K, editors. Spatial & syndromic surveillance for public health. West Sussex: John Wiley & Sons; 2005. pp. 1–269.
-
- Hogan WR, Cooper GC, Wallstrom GL, Wagner MM, Depinay JM. The Bayesian aerosol release detector. Stat Med. 2007;26(29):5225–52. - PubMed
-
- Watkins RE, Eagleson S, Beckett S, Garner G, Veenendaal B, Wright G, Plant A. Using GIS to create synthetic disease outbreaks. BMC Medical Informatics and Decision Making. 2007;7:4. Available from: http://www.biomedcentral.com/1472-6947/7/4. - PMC - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical