Abstract
We developed a template-driven spatial-temporal multivariate outbreak simulator that can generate multiple data streams of outbreak data for evaluating detection algorithms used in disease surveillance systems. The simulator is controlled via intuitive parameters that describe features of the outbreak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.
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Zhang, M., Kong, X., Wallstrom, G.L. (2008). Simulation of Multivariate Spatial-Temporal Outbreak Data for Detection Algorithm Evaluation. In: Zeng, D., Chen, H., Rolka, H., Lober, B. (eds) Biosurveillance and Biosecurity . BioSecure 2008. Lecture Notes in Computer Science(), vol 5354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89746-0_15
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DOI: https://doi.org/10.1007/978-3-540-89746-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89745-3
Online ISBN: 978-3-540-89746-0
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