文章基本信息

标题：Localized Cluster Detection Applied to Joint and Separate Military and Veteran Subpopulations
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作者：Howard Burkom ; Yevgeniy Elbert ; Carla Winston 等
期刊名称：Online Journal of Public Health Informatics
电子版ISSN：1947-2579
出版年度：2013
卷号：5
期号：1
语种：English
出版社：University of Illinois at Chicago
摘要：The study investigated combining Department of Defense (DoD) and Veterans Administration (VA) outpatient datasets for disease cluster detection. Results of retrospective scan statistics over 4 years were compared using both separate and joined data. Combining data sources increased the background alert rate by a manageable 1-10% across run sets. Clustering evidence of known outbreaks found in separate DoD and VA runs persisted when data sets were combined. Some clusters found only when the data were combined persisted over several days and may have indicated small events not reported in either system.