National Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool, Liverpool, United Kingdom.
Institute of Infection and Global Health, University of Liverpool, Liverpool, United Kingdom.
Euro Surveill. 2019 Aug;24(31). doi: 10.2807/1560-7917.ES.2019.24.31.1800216.
BackgroundA variety of airline passenger data sources are used for modelling the international spread of infectious diseases. Questions exist regarding the suitability and validity of these sources.AimWe conducted a systematic review to identify the sources of airline passenger data used for these purposes and to assess validation of the data and reproducibility of the methodology.MethodsArticles matching our search criteria and describing a model of the international spread of human infectious disease, parameterised with airline passenger data, were identified. Information regarding type and source of airline passenger data used was collated and the studies' reproducibility assessed.ResultsWe identified 136 articles. The majority (n = 96) sourced data primarily used by the airline industry. Governmental data sources were used in 30 studies and data published by individual airports in four studies. Validation of passenger data was conducted in only seven studies. No study was found to be fully reproducible, although eight were partially reproducible.LimitationsBy limiting the articles to international spread, articles focussed on within-country transmission even if they used relevant data sources were excluded. Authors were not contacted to clarify their methods. Searches were limited to articles in PubMed, Web of Science and Scopus.ConclusionWe recommend greater efforts to assess validity and biases of airline passenger data used for modelling studies, particularly when model outputs are to inform national and international public health policies. We also recommend improving reporting standards and more detailed studies on biases in commercial and open-access data to assess their reproducibility.
背景
多种航空旅客数据来源被用于建模传染性疾病的国际传播。这些数据源的适用性和有效性存在疑问。
目的
我们进行了一项系统评价,以确定用于这些目的的航空旅客数据来源,并评估数据的验证和方法的可重复性。
方法
符合我们搜索标准并描述了一种用航空旅客数据参数化的人类传染病国际传播模型的文章被识别出来。收集了有关航空旅客数据类型和来源的信息,并评估了研究的可重复性。
结果
我们确定了 136 篇文章。其中大多数(n=96)主要从航空公司收集数据。30 项研究使用了政府数据来源,4 项研究使用了单个机场发布的数据。只有 7 项研究对旅客数据进行了验证。没有一项研究被发现是完全可重复的,尽管有 8 项是部分可重复的。
局限性
由于将文章限定为国际传播,因此即使使用了相关数据来源,也排除了专注于国内传播的文章。作者未被联系以澄清他们的方法。搜索仅限于 PubMed、Web of Science 和 Scopus 中的文章。
结论
我们建议加大评估用于建模研究的航空旅客数据的有效性和偏差的力度,特别是当模型输出用于为国家和国际公共卫生政策提供信息时。我们还建议提高报告标准,并对商业和开放获取数据中的偏差进行更详细的研究,以评估其可重复性。