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[在新冠疫情期间利用移动性数据检测不平等现象的工作经验]

[The experience of working with mobility data in order to detect inequalities during COVID-19 pandemic].

作者信息

Glodeanu Adrián, Gullón Pedro, Bilal Usama

机构信息

Programa de Doctorado en Geografía, Facultad de Geografía e Historia, Universidad Complutense de Madrid, Madrid, España.

Grupo de Investigación en Salud Pública y Epidemiología, Universidad de Alcalá, Madrid, España; Centre for Urban Research, RMIT University, Melbourne, Australia.

出版信息

Gac Sanit. 2022 Jul-Aug;36(4):388-391. doi: 10.1016/j.gaceta.2021.04.003. Epub 2021 Jun 3.

Abstract

The COVID-19 pandemic has been one of the most important health crises of the last century in Spain and worldwide. Mobility reduction interventions have been among the most common public health measures implemented to mitigate the pandemic through reducing community transmission. These measures may have an unequal impact across the population. We present a methodology based on the use of publicly available data from the Instituto Nacional de Estadística and the Sociedad Espanola de Epidemiología, to study socioeconomic inequalities in mobility during the pandemic. We describe an application of this methodology for a province (Asturias), showing socioeconomic rural-urban patterns. The use of geographic information system tools can provide useful evidence to explore the social determinants of health at multiple levels.

摘要

新冠疫情是西班牙乃至全球上个世纪以来最重要的健康危机之一。减少人员流动干预措施是为减缓疫情通过减少社区传播而实施的最常见的公共卫生措施之一。这些措施对不同人群的影响可能并不平等。我们提出一种基于使用西班牙国家统计局和西班牙流行病学协会公开数据的方法,以研究疫情期间人员流动方面的社会经济不平等现象。我们描述了该方法在一个省份(阿斯图里亚斯)的应用,展示了城乡社会经济模式。地理信息系统工具的使用可为在多个层面探索健康的社会决定因素提供有用证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cce3/8173483/82c98cf1aa06/gr1_lrg.jpg

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