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本文引用的文献

1
Methods for current statistical analysis of excess pneumonia-influenza deaths.当前过量肺炎-流感死亡统计分析方法。
Public Health Rep (1896). 1963 Jun;78(6):494-506.
2
Syndromic surveillance: the effects of syndrome grouping on model accuracy and outbreak detection.症状监测:症状分组对模型准确性和疫情检测的影响。
Ann Emerg Med. 2004 Sep;44(3):235-41. doi: 10.1016/j.annemergmed.2004.03.030.
3
Use of emergency department chief complaint and diagnostic codes for identifying respiratory illness in a pediatric population.利用急诊科主诉和诊断编码识别儿科人群中的呼吸道疾病。
Pediatr Emerg Care. 2004 Jun;20(6):355-60. doi: 10.1097/01.pec.0000133608.96957.b9.
4
Integrating syndromic surveillance data across multiple locations: effects on outbreak detection performance.整合多个地点的症状监测数据:对疫情检测性能的影响。
AMIA Annu Symp Proc. 2003;2003:549-53.
5
Automated syndromic surveillance for the 2002 Winter Olympics.2002年冬季奥运会的自动症状监测。
J Am Med Inform Assoc. 2003 Nov-Dec;10(6):547-54. doi: 10.1197/jamia.M1352. Epub 2003 Aug 4.
6
Detection of pediatric respiratory and diarrheal outbreaks from sales of over-the-counter electrolyte products.通过非处方电解质产品销售情况检测儿童呼吸道和腹泻疾病暴发
J Am Med Inform Assoc. 2003 Nov-Dec;10(6):555-62. doi: 10.1197/jamia.M1377. Epub 2003 Aug 4.
7
Technical description of RODS: a real-time public health surveillance system.RODS的技术描述:一个实时公共卫生监测系统。
J Am Med Inform Assoc. 2003 Sep-Oct;10(5):399-408. doi: 10.1197/jamia.M1345. Epub 2003 Jun 4.
8
Design of a national retail data monitor for public health surveillance.用于公共卫生监测的国家零售数据监测器的设计。
J Am Med Inform Assoc. 2003 Sep-Oct;10(5):409-18. doi: 10.1197/jamia.M1357. Epub 2003 Jun 4.
9
Syndromic surveillance using automated collection of computerized discharge diagnoses.利用计算机化出院诊断自动收集进行症状监测。
J Urban Health. 2003 Jun;80(2 Suppl 1):i97-106. doi: 10.1007/pl00022320.
10
The bioterrorism preparedness and response Early Aberration Reporting System (EARS).生物恐怖主义防范与应对早期异常报告系统(EARS)。
J Urban Health. 2003 Jun;80(2 Suppl 1):i89-96. doi: 10.1007/pl00022319.

实施症状监测:基于早期经验的实用指南

Implementing syndromic surveillance: a practical guide informed by the early experience.

作者信息

Mandl Kenneth D, Overhage J Marc, Wagner Michael M, Lober William B, Sebastiani Paola, Mostashari Farzad, Pavlin Julie A, Gesteland Per H, Treadwell Tracee, Koski Eileen, Hutwagner Lori, Buckeridge David L, Aller Raymond D, Grannis Shaun

机构信息

Children's Hospital Informatics Program, Division of Emergency Medicine, Center for Biopreparedness, Children's Hospital Boston, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.

出版信息

J Am Med Inform Assoc. 2004 Mar-Apr;11(2):141-50. doi: 10.1197/jamia.M1356. Epub 2003 Nov 21.

DOI:10.1197/jamia.M1356
PMID:14633933
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC353021/
Abstract

Syndromic surveillance refers to methods relying on detection of individual and population health indicators that are discernible before confirmed diagnoses are made. In particular, prior to the laboratory confirmation of an infectious disease, ill persons may exhibit behavioral patterns, symptoms, signs, or laboratory findings that can be tracked through a variety of data sources. Syndromic surveillance systems are being developed locally, regionally, and nationally. The efforts have been largely directed at facilitating the early detection of a covert bioterrorist attack, but the technology may also be useful for general public health, clinical medicine, quality improvement, patient safety, and research. This report, authored by developers and methodologists involved in the design and deployment of the first wave of syndromic surveillance systems, is intended to serve as a guide for informaticians, public health managers, and practitioners who are currently planning deployment of such systems in their regions.

摘要

症候群监测是指依靠在确诊之前即可识别的个体和群体健康指标的检测方法。特别是在传染病经实验室确诊之前,患病个体可能会表现出行为模式、症状、体征或实验室检查结果,这些都可以通过各种数据来源进行追踪。地方、区域和国家层面都在开发症候群监测系统。这些努力主要旨在促进对隐蔽生物恐怖袭击的早期发现,但该技术也可能对一般公共卫生、临床医学、质量改进、患者安全及研究有用。本报告由参与首批症候群监测系统设计与部署的开发者和方法学家撰写,旨在为目前计划在其所在地区部署此类系统的信息学家、公共卫生管理人员及从业者提供指导。