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Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review

Fragile states are home to a sixth of the world's population, and their populations are particularly vulnerable to infectious disease outbreaks. Timely surveillance and control are essential to minimise the impact of these outbreaks, but little evidence is published about the effectiveness of e...

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Autores principales: Bruckner, Catherine, Checchi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3180250/
https://www.ncbi.nlm.nih.gov/pubmed/21861869
http://dx.doi.org/10.1186/1752-1505-5-13
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author Bruckner, Catherine
Checchi, Francesco
author_facet Bruckner, Catherine
Checchi, Francesco
author_sort Bruckner, Catherine
collection PubMed
description Fragile states are home to a sixth of the world's population, and their populations are particularly vulnerable to infectious disease outbreaks. Timely surveillance and control are essential to minimise the impact of these outbreaks, but little evidence is published about the effectiveness of existing surveillance systems. We did a systematic review of the circumstances (mode) of detection of outbreaks occurring in 22 fragile states in the decade 2000-2010 (i.e. all states consistently meeting fragility criteria during the timeframe of the review), as well as time lags from onset to detection of these outbreaks, and from detection to further events in their timeline. The aim of this review was to enhance the evidence base for implementing infectious disease surveillance in these complex, resource-constrained settings, and to assess the relative importance of different routes whereby outbreak detection occurs. We identified 61 reports concerning 38 outbreaks. Twenty of these were detected by existing surveillance systems, but 10 detections occurred following formal notifications by participating health facilities rather than data analysis. A further 15 outbreaks were detected by informal notifications, including rumours. There were long delays from onset to detection (median 29 days) and from detection to further events (investigation, confirmation, declaration, control). Existing surveillance systems yielded the shortest detection delays when linked to reduced barriers to health care and frequent analysis and reporting of incidence data. Epidemic surveillance and control appear to be insufficiently timely in fragile states, and need to be strengthened. Greater reliance on formal and informal notifications is warranted. Outbreak reports should be more standardised and enable monitoring of surveillance systems' effectiveness.
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spelling pubmed-31802502011-09-27 Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review Bruckner, Catherine Checchi, Francesco Confl Health Review Fragile states are home to a sixth of the world's population, and their populations are particularly vulnerable to infectious disease outbreaks. Timely surveillance and control are essential to minimise the impact of these outbreaks, but little evidence is published about the effectiveness of existing surveillance systems. We did a systematic review of the circumstances (mode) of detection of outbreaks occurring in 22 fragile states in the decade 2000-2010 (i.e. all states consistently meeting fragility criteria during the timeframe of the review), as well as time lags from onset to detection of these outbreaks, and from detection to further events in their timeline. The aim of this review was to enhance the evidence base for implementing infectious disease surveillance in these complex, resource-constrained settings, and to assess the relative importance of different routes whereby outbreak detection occurs. We identified 61 reports concerning 38 outbreaks. Twenty of these were detected by existing surveillance systems, but 10 detections occurred following formal notifications by participating health facilities rather than data analysis. A further 15 outbreaks were detected by informal notifications, including rumours. There were long delays from onset to detection (median 29 days) and from detection to further events (investigation, confirmation, declaration, control). Existing surveillance systems yielded the shortest detection delays when linked to reduced barriers to health care and frequent analysis and reporting of incidence data. Epidemic surveillance and control appear to be insufficiently timely in fragile states, and need to be strengthened. Greater reliance on formal and informal notifications is warranted. Outbreak reports should be more standardised and enable monitoring of surveillance systems' effectiveness. BioMed Central 2011-08-23 /pmc/articles/PMC3180250/ /pubmed/21861869 http://dx.doi.org/10.1186/1752-1505-5-13 Text en Copyright ©2011 Bruckner and Checchi; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Bruckner, Catherine
Checchi, Francesco
Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review
title Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review
title_full Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review
title_fullStr Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review
title_full_unstemmed Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review
title_short Detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review
title_sort detection of infectious disease outbreaks in twenty-two fragile states, 2000-2010: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3180250/
https://www.ncbi.nlm.nih.gov/pubmed/21861869
http://dx.doi.org/10.1186/1752-1505-5-13
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