The Bayesian aerosol release detector: an algorithm for detecting and characterizing outbreaks caused by an atmospheric release of Bacillus anthracis.
The Bayesian aerosol release detector: an algorithm for detecting and characterizing outbreaks caused by an atmospheric release of Bacillus anthracis.
复制标题
贝叶斯气溶胶释放检测器:一种用于检测和表征由炭疽杆菌释放到大气中引起的爆发的算法。
DOI:
10.1002/sim.3093
复制
发表时间:
2007
影响因子:
2
通讯作者:
Depinay,Jean-Marc
中科院分区:
文献类型:
--
作者:
Hogan,WilliamR;Cooper,GregoryF;Wallstrom,GarrickL;Wagner,MichaelM;Depinay,Jean-Marc
Early detection and characterization of outdoor aerosol releases ofBacillus anthracisis an important problem. As health departments and other government agencies address this problem with newer methods of surveillance such as environmental surveillance through the BioWatch program and enhanced medical surveillance, they increasingly have newer types of surveillance data available. However, existing methods for the statistical analysis of surveillance data do not account for recent meteorological conditions, as human analysts did in the case of the Sverdlovsk anthrax outbreak of 1979 to determine whether the locations of victims were consistent with meteorological conditions in the week preceding their onset of illness.This paper describes the Bayesian aerosol release detector (BARD), an algorithm that analyzes both medical surveillance data and meteorological data for early detection and characterization of outdoor releases ofB. anthracis. It estimates a posterior distribution over the location, quantity, and date and time conditioned on a release having occurred. We report a proof‐of‐concept evaluation of BARD, which demonstrates that the approach shows promise and warrants further development and evaluation. Copyright © 2007 John Wiley & Sons, Ltd.