Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data

机译：利用街道水平入射数据提高空间监测的症状监测准确性

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BackgroundThe Department of Defense Military Health System operates a syndromic surveillance system that monitors medical records at more than 450 non-combat Military Treatment Facilities (MTF) worldwide. The Electronic Surveillance System for Early Notification of Community-based Epidemics (ESSENCE) uses both temporal and spatial algorithms to detect disease outbreaks. This study focuses on spatial detection and attempts to improve the effectiveness of the ESSENCE implementation of the spatial scan statistic by increasing the spatial resolution of incidence data from zip codes to street address level.

机译：背景国防部军事卫生系统运行着一种症状监测系统，该系统可以监测全球450多个非作战军事治疗设施（MTF）的病历。提前通知基于社区的流行病的电子监视系统（ESSENCE）使用时间和空间算法来检测疾病暴发。这项研究的重点是空间检测，并试图通过将入射数据的邮政编码（从邮政编码）提高到街道地址级别来提高空间扫描统计信息的ESSENCE实现的有效性。

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期刊名称 International Journal of Health Geographics
作者
David J Savory; Kenneth L Cox; Michael Emch; Farrokh Alemi; David C Pattie;
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年(卷),期 2010(9),-1
年度 2010
页码 1
总页数 11
原文格式 PDF
正文语种
中图分类病理学;
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7. Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data [O] . David J Savory, Kenneth L Cox, Michael Emch, 2010

机译：利用街道水平入射数据提高空间监测的症状监测准确性

Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data

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