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数字公共卫生监测:一项系统的范围综述

Digital public health surveillance: a systematic scoping review.

作者信息

Shakeri Hossein Abad Zahra, Kline Adrienne, Sultana Madeena, Noaeen Mohammad, Nurmambetova Elvira, Lucini Filipe, Al-Jefri Majed, Lee Joon

机构信息

Data Intelligence for Health Lab, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

出版信息

NPJ Digit Med. 2021 Mar 3;4(1):41. doi: 10.1038/s41746-021-00407-6.

Abstract

The ubiquitous and openly accessible information produced by the public on the Internet has sparked an increasing interest in developing digital public health surveillance (DPHS) systems. We conducted a systematic scoping review in accordance with the PRISMA extension for scoping reviews to consolidate and characterize the existing research on DPHS and identify areas for further research. We used Natural Language Processing and content analysis to define the search strings and searched Global Health, Web of Science, PubMed, and Google Scholar from 2005 to January 2020 for peer-reviewed articles on DPHS, with extensive hand searching. Seven hundred fifty-five articles were included in this review. The studies were from 54 countries and utilized 26 digital platforms to study 208 sub-categories of 49 categories associated with 16 public health surveillance (PHS) themes. Most studies were conducted by researchers from the United States (56%, 426) and dominated by communicable diseases-related topics (25%, 187), followed by behavioural risk factors (17%, 131). While this review discusses the potentials of using Internet-based data as an affordable and instantaneous resource for DPHS, it highlights the paucity of longitudinal studies and the methodological and inherent practical limitations underpinning the successful implementation of a DPHS system. Little work studied Internet users' demographics when developing DPHS systems, and 39% (291) of studies did not stratify their results by geographic region. A clear methodology by which the results of DPHS can be linked to public health action has yet to be established, as only six (0.8%) studies deployed their system into a PHS context.

摘要

公众在互联网上产生的无处不在且可公开获取的信息,引发了人们对开发数字公共卫生监测(DPHS)系统日益浓厚的兴趣。我们根据PRISMA扩展版的范围审查方法进行了系统的范围审查,以巩固和描述关于DPHS的现有研究,并确定进一步研究的领域。我们使用自然语言处理和内容分析来定义搜索词,并在2005年至2020年1月期间搜索了Global Health、Web of Science、PubMed和谷歌学术,以查找关于DPHS的同行评审文章,并进行了广泛的手工检索。本综述纳入了755篇文章。这些研究来自54个国家,利用26个数字平台,研究了与16个公共卫生监测(PHS)主题相关的49个类别的208个子类别。大多数研究由美国的研究人员进行(56%,426项),且以传染病相关主题为主(25%,187项),其次是行为风险因素(17%,131项)。虽然本综述讨论了将基于互联网的数据作为DPHS的一种经济实惠且即时可用资源的潜力,但它也强调了纵向研究的匮乏,以及DPHS系统成功实施所面临的方法学和内在实际限制。在开发DPHS系统时,很少有研究关注互联网用户的人口统计学特征,39%(291项)的研究没有按地理区域对结果进行分层。由于只有六项(0.8%)研究将其系统应用于PHS背景中,因此尚未建立一种明确的方法来将DPHS的结果与公共卫生行动联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c9/7930261/0506d80714b9/41746_2021_407_Fig1_HTML.jpg

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