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Open AccessJournal ArticleDOI

Potential for early warning of viral influenza activity in the community by monitoring clinical diagnoses of influenza in hospital emergency departments

Wei Zheng, +3 more
- 19 Sep 2007 - 
- Vol. 7, Iss: 1, pp 250-250
TLDR
Monitoring time series of ED visits clinically diagnosed with influenza could potentially provide three days early warning compared with surveillance of laboratory-confirmed influenza.
Abstract
Background Although syndromic surveillance systems are gaining acceptance as useful tools in public health, doubts remain about whether the anticipated early warning benefits exist. Many assessments of this question do not adequately account for the confounding effects of autocorrelation and trend when comparing surveillance time series and few compare the syndromic data stream against a continuous laboratory-based standard. We used time series methods to assess whether monitoring of daily counts of Emergency Department (ED) visits assigned a clinical diagnosis of influenza could offer earlier warning of increased incidence of viral influenza in the population compared with surveillance of daily counts of positive influenza test results from laboratories.

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Citations
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Using age, triage score, and disposition data from emergency department electronic records to improve Influenza-like illness surveillance

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References
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Journal ArticleDOI

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Journal ArticleDOI

Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza

TL;DR: Influenza-related mortality data is used to analyze the between-state progression of interpandemic influenza in the United States over the past 30 years and a simple epidemiological model captures the observed increase of influenza spatial synchrony with transmissibility.
Book

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TL;DR: In this article, the authors describe simple descriptive methods of analysis for bivariate time-series analysis and present an approach for fitting autoregressive moving average processes to data. But they do not discuss the application of these processes to forecasting.
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