Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review

Eliot Spector, Yahan Zhang, Yi Guo, Sarah Bost, Xi Yang, Mattia Prosperi, Yonghui Wu, Hui Shao and Jiang Bian
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Eliot Spector: Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32610, USA
Yahan Zhang: Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, FL 32610, USA
Yi Guo: Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32610, USA
Sarah Bost: Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32610, USA
Xi Yang: Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32610, USA
Mattia Prosperi: Department of Epidemiology, University of Florida, Gainesville, FL 32610, USA
Yonghui Wu: Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32610, USA
Hui Shao: Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, FL 32610, USA
Jiang Bian: Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32610, USA

IJERPH, 2022, vol. 19, issue 8, 1-10

Abstract: 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.

Keywords: syndromic surveillance; public health surveillance; mass gathering medicine; infectious disease surveillance; disaster management; emergency medicine (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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