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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9026395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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