Literature DB >> 18782400

Identifying pneumonia outbreaks of public health importance: can emergency department data assist in earlier identification?

Kirsty Hope1, David N Durrheim, David Muscatello, Tony Merritt, Wei Zheng, Peter Massey, Patrick Cashman, Keith Eastwood.   

Abstract

OBJECTIVE: To retrospectively review the performance of a near real-time Emergency Department (ED) Syndromic Surveillance System operating in New South Wales for identifying pneumonia outbreaks of public health importance.
METHODS: Retrospective data was obtained from the NSW Emergency Department data collection for a rural hospital that has experienced a cluster of pneumonia diagnoses among teenage males in August 2006. ED standard reports were examined for signals in the overall count for each respiratory syndrome, and for elevated counts in individual subgroups including; age, sex and admission to hospital status.
RESULTS: Using the current thresholds, the ED syndromic surveillance system would have trigged a signal for pneumonia syndrome in children aged 5-16 years four days earlier than the notification by a paediatrician and this signal was maintained for 14 days.
CONCLUSION: If the ED syndromic surveillance system had been operating it could have identified the outbreak earlier than the paediatrician's notification. This may have permitted an earlier public health response. IMPLICATIONS: By understanding the behaviour of syndromes during outbreaks of public health importance, response protocols could be developed to facilitate earlier implementation of control measures.

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Year:  2008        PMID: 18782400     DOI: 10.1111/j.1753-6405.2008.00255.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  5 in total

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Authors:  Kin-wing Choi; Ngai-sze Wong; Lap-yip Lee; Shui-shan Lee
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2.  Factors associated with whole carcass condemnation rates in provincially-inspected abattoirs in Ontario 2001-2007: implications for food animal syndromic surveillance.

Authors:  Gillian D Alton; David L Pearl; Ken G Bateman; W Bruce McNab; Olaf Berke
Journal:  BMC Vet Res       Date:  2010-08-12       Impact factor: 2.741

3.  Detecting and diagnosing hotspots for the enhanced management of hospital Emergency Departments in Queensland, Australia.

Authors:  Sarah Bolt; Ross Sparks
Journal:  BMC Med Inform Decis Mak       Date:  2013-12-05       Impact factor: 2.796

4.  Can linked emergency department data help assess the out-of-hospital burden of acute lower respiratory infections? A population-based cohort study.

Authors:  Hannah C Moore; Nicholas de Klerk; Peter Jacoby; Peter Richmond; Deborah Lehmann
Journal:  BMC Public Health       Date:  2012-08-28       Impact factor: 3.295

5.  Comparison of covariate adjustment methods using space-time scan statistics for food animal syndromic surveillance.

Authors:  Gillian D Alton; David L Pearl; Ken G Bateman; Bruce McNab; Olaf Berke
Journal:  BMC Vet Res       Date:  2013-11-18       Impact factor: 2.741

  5 in total

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