TY - JOUR AU - Watkins, Rochelle E. AU - Eagleson, Serryn AU - Veenendaal, Bert AU - Wright, Graeme AU - Plant, Aileen J. PY - 2009 DA - 2009/08/10 TI - Disease surveillance using a hidden Markov model JO - BMC Medical Informatics and Decision Making SP - 39 VL - 9 IS - 1 AB - 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. SN - 1472-6947 UR - https://doi.org/10.1186/1472-6947-9-39 DO - 10.1186/1472-6947-9-39 ID - Watkins2009 ER -