文章基本信息

标题：Opportunities and Challenges for Developing Syndromic Surveillance Systems for the Detection of Social Epidemics
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作者：David Scales
期刊名称：Online Journal of Public Health Informatics
电子版ISSN：1947-2579
出版年度：2020
卷号：12
期号：1
页码：1-10
DOI：10.5210/ojphi.v12i1.10579
出版社：University of Illinois at Chicago
摘要：This commentary explores the potential and challenges of developing syndromic surveillance systems with the ability to more rapidly detect epidemics of addiction, poverty, housing instability, food insecurity, social isolation and other social determinants of health (SDoH). Epidemiologists tracking SDoH heavily rely on expensive government surveys released annually, delaying for months if not years the timely detection of social epidemics, defined as sudden, rapid or unexpected changes in social determinants of population health. Conversely, infectious disease syndromic surveillance is an effective early warning tool for epidemic diseases using various types of non-traditional epidemiological data from emergency room chief complaints to search query data. Based on such experience, novel social syndromic surveillance systems for early detection of social epidemics with health implications are not only possible but necessary. Challenges to their widespread implementation include incorporating disparate proprietary data sources and database integration. Significantly more resources are critically needed to address these barriers to allow for accessing, integrating and rapidly analyzing appropriate data streams to make syndromic surveillance for social determinants of health widely available to public health professionals.
关键词：Syndromic surveillance; social determinants of health; social epidemics; public health informatics