Evidence map›Paper›PMID 16492494›Full record

ArticleAnnals of emergency medicine2006

Validation of syndromic surveillance for respiratory infections.

Florence T Bourgeois, Karen L Olson, John S Brownstein, Alexander J McAdam, Kenneth D Mandl

Abstract readComparative StudyValidation Study
In one paragraph

Article in Annals of emergency medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Evaluating multi-purpose syndromic surveillance systems - a complex problem.Online journal of public health informatics · 2021
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  13. Emergency department surveillance as a proxy for the prediction of circulating respiratory viral disease in Eastern Ontario.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2013
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Florence T BourgeoisDivision of Emergency Medicine, Children's Hospital Boston, Boston, MA 02115, USA. florence.bourgeois@childrens.harvard.edu
Karen L Olson
John S Brownstein
Alexander J McAdam
Kenneth D Mandl

Funding

WIRELESS CAPSULE ENDOSCOPY TO EVALUATE THE SMALL INTESTINE M01RR002172 · NCRR · CHILDREN'S HOSPITAL BOSTON · PI MANDELL, JAMES WILLIAM · 1985 to 2008
$16.0M
RESEARCH TRAINING IN PEDIATRIC EMERGENCY MEDICINET32HD040128 · NICHD · CHILDREN'S HOSPITAL BOSTON · PI Kenneth D. Mandl · 2001 to 2026
$5.0M
Syndromic Surveillance Data Exchange and AnalysisR21LM007970 · NLM · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GRANNIS, SHAUN J · 2003 to 2005
$1.8M
NCRR NIH HHS M01 RR002172NCRR NIH HHS M01 RR-02172NICHD NIH HHS 5 T32 HD40128-03NICHD NIH HHS 5 T32 HD40128-04NICHD NIH HHS T32 HD040128NLM NIH HHS R01LM007970-01NLM NIH HHS R21 LM007970PHS HHS 290-00-0020
6 · The paper itself

Abstract

STUDY

objectiveA key public health question is whether syndromic surveillance data provide early warning of infectious outbreaks. One cause for skepticism is that biological correlates of the administrative and clinical data used in these systems have not been rigorously assessed. This study measures the value of respiratory data currently used in syndromic surveillance systems to detect respiratory infections by comparing it against criterion standard viral testing within a pediatric population.

methodsWe conducted a longitudinal study with prospective validation in the emergency department (ED) of a tertiary care children's hospital. Children aged 7 years or younger who presented with a respiratory syndrome or who were tested for respiratory syncytial virus (RSV), influenza virus, parainfluenza virus, adenovirus, or enterovirus between January 1993 and June 2004 were included. We assessed the predictive ability of the viral tests by fitting generalized linear models to respiratory syndrome counts.

resultsOf 582,635 patient visits, 89,432 (15.4%) were for respiratory syndromes, and of these, 7,206 (8.1%) patients were tested for the viruses of interest. RSV was significantly related to respiratory syndrome counts (adjusted rate ratio [RR] 1.33; 95% confidence interval [CI] 1.04 to 1.71). In multivariate models including all viruses tested, influenza virus was also a significant predictor of respiratory syndrome counts (RR 1.47; 95% CI 1.03 to 2.10). This model accounted for 81.6% of the observed variability in respiratory syndrome counts.

conclusionRespiratory syndromic surveillance data strongly correlate with virologic test results in a pediatric population, providing evidence of the biologic validity of such surveillance systems. Real-time outbreak detection systems relying on syndromic data may be an important adjunct to the current set of public health systems for the detection and surveillance of respiratory infections.

Indexed as

BostonChildChild, PreschoolEmergency Service, HospitalFemaleHumansInfantInfant, NewbornLongitudinal StudiesMalePopulation SurveillancePrevalenceProspective StudiesRegression AnalysisRespiratory Tract InfectionsSyndrome

Identifiers

PMID16492494
PMCPMC7124214

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.