Disease surveillance using a hidden Markov model |
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Authors: | Rochelle E Watkins Serryn Eagleson Bert Veenendaal Graeme Wright Aileen J Plant |
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Institution: | (1) Curtin Health Innovation Research Institute, Curtin University of Technology, Perth, Australia;(2) Department of Spatial Sciences, Curtin University of Technology, Perth, Australia |
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Abstract: | Background Routine surveillance of disease notification data can enable the early detection of localised disease outbreaks. Although
hidden Markov models (HMMs) have been recognised as an appropriate method to model disease surveillance data, they have been
rarely applied in public health practice. We aimed to develop and evaluate a simple flexible HMM for disease surveillance
which is suitable for use with sparse small area count data and requires little baseline data. |
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Keywords: | |
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