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重新设计用于流感疫情监测的实时疫情检测系统。

Reengineering real time outbreak detection systems for influenza epidemic monitoring.

作者信息

Brownstein John S, Mandl Kenneth D

机构信息

Children's Hospital Informatics Program at Harvard-MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, USA.

出版信息

AMIA Annu Symp Proc. 2006;2006:866.

PMID:17238486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1839573/
Abstract

In the wake of fears over pandemic influenza, triggered by concern about avian influenza, a top national priority is to adapt surveillance systems, such as Biosense, for influenza monitoring. While real time surveillance system architects have been largely focused on the problem of discrete outbreak detection, the data in these systems have been shown to have unique advantages for the timely detection of influenza. In this study, we evaluate the utility influenza detection by real-time surveillance as an adjunct to the traditional CDC surveillance systems.

摘要

在对禽流感的担忧引发对大流行性流感的恐惧之后,国家的首要任务是调整诸如生物传感系统(Biosense)等监测系统以用于流感监测。虽然实时监测系统架构师主要关注离散疫情爆发的检测问题,但这些系统中的数据已被证明在及时检测流感方面具有独特优势。在本研究中,我们评估了通过实时监测进行流感检测作为传统美国疾病控制与预防中心(CDC)监测系统辅助手段的效用。