A study regarding the applicability of WSARE algorithms in the early warning system of infectious disease outbreaks

VernacularTitle:WSARE计算方法在传染病暴发早期预警中的应用
Author: Zi-Wu ZHANG ¹ ; Zi-Jian FENG ; Xiao-Song LI
Author Information

1. 四川省疾病预防控制中心
Keywords: Infectious discase surveillance; Early warning; WSARE algorithm
From: Chinese Journal of Epidemiology 2010;31(11):1306-1310
CountryChina
Language:Chinese
Abstract: To investigate the application of WSARE (What' s Strange About Recent Events) algorithm in early warning on outbreaks of infectious diseases and to explore the multidimensional statistical methods for the detection of infectious diseases outbreak. Using WSARE algorithms based on historical data and Bayesian Network as baseline respectively, to analyze data on measles by mimicking the real-time monitoring and early warning system in Bao'an district,Shenzhen city, in 2007. WSARE algorithms were considered to be effective and timely in detecting the abnormally increase of measles among special population. WSARE algorithm could timely detect the abnormal increase of diseases among special local populations, thus having important value in the application of early warning system during the outbreak of infectious diseases.