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Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review

Syndromic surveillance involves the near-real-time collection of data from a potential multitude of sources to detect outbreaks of disease or adverse health events earlier than traditional forms of public health surveillance. The purpose of the present study is to elucidate the role of syndromic sur...

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Autores principales: Spector, Eliot, Zhang, Yahan, Guo, Yi, Bost, Sarah, Yang, Xi, Prosperi, Mattia, Wu, Yonghui, Shao, Hui, Bian, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026395/
https://www.ncbi.nlm.nih.gov/pubmed/35457541
http://dx.doi.org/10.3390/ijerph19084673
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author Spector, Eliot
Zhang, Yahan
Guo, Yi
Bost, Sarah
Yang, Xi
Prosperi, Mattia
Wu, Yonghui
Shao, Hui
Bian, Jiang
author_facet Spector, Eliot
Zhang, Yahan
Guo, Yi
Bost, Sarah
Yang, Xi
Prosperi, Mattia
Wu, Yonghui
Shao, Hui
Bian, Jiang
author_sort Spector, Eliot
collection PubMed
description Syndromic surveillance involves the near-real-time collection of data from a potential multitude of sources to detect outbreaks of disease or adverse health events earlier than traditional forms of public health surveillance. The purpose of the present study is to elucidate the role of syndromic surveillance during mass gathering scenarios. In the present review, the use of syndromic surveillance for mass gathering scenarios is described, including characteristics such as methodologies of data collection and analysis, degree of preparation and collaboration, and the degree to which prior surveillance infrastructure is utilized. Nineteen publications were included for data extraction. The most common data source for the included syndromic surveillance systems was emergency departments, with first aid stations and event-based clinics also present. Data were often collected using custom reporting forms. While syndromic surveillance can potentially serve as a method of informing public health policy regarding specific mass gatherings based on the profile of syndromes ascertained, the present review does not indicate that this form of surveillance is a reliable method of detecting potentially critical public health events during mass gathering scenarios.
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spelling pubmed-90263952022-04-23 Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review Spector, Eliot Zhang, Yahan Guo, Yi Bost, Sarah Yang, Xi Prosperi, Mattia Wu, Yonghui Shao, Hui Bian, Jiang Int J Environ Res Public Health Review Syndromic surveillance involves the near-real-time collection of data from a potential multitude of sources to detect outbreaks of disease or adverse health events earlier than traditional forms of public health surveillance. The purpose of the present study is to elucidate the role of syndromic surveillance during mass gathering scenarios. In the present review, the use of syndromic surveillance for mass gathering scenarios is described, including characteristics such as methodologies of data collection and analysis, degree of preparation and collaboration, and the degree to which prior surveillance infrastructure is utilized. Nineteen publications were included for data extraction. The most common data source for the included syndromic surveillance systems was emergency departments, with first aid stations and event-based clinics also present. Data were often collected using custom reporting forms. While syndromic surveillance can potentially serve as a method of informing public health policy regarding specific mass gatherings based on the profile of syndromes ascertained, the present review does not indicate that this form of surveillance is a reliable method of detecting potentially critical public health events during mass gathering scenarios. MDPI 2022-04-13 /pmc/articles/PMC9026395/ /pubmed/35457541 http://dx.doi.org/10.3390/ijerph19084673 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Spector, Eliot
Zhang, Yahan
Guo, Yi
Bost, Sarah
Yang, Xi
Prosperi, Mattia
Wu, Yonghui
Shao, Hui
Bian, Jiang
Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review
title Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review
title_full Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review
title_fullStr Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review
title_full_unstemmed Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review
title_short Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review
title_sort syndromic surveillance systems for mass gatherings: a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026395/
https://www.ncbi.nlm.nih.gov/pubmed/35457541
http://dx.doi.org/10.3390/ijerph19084673
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