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为跨国城市健康研究构建数据平台:SALURBAL 研究。

Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study.

机构信息

Urban Health Collaborative, Drexel University, Philadelphia, PA, USA.

Nesbitt Hall, 3215 Market St, 2nd Floor, Philadelphia, PA, 19104, USA.

出版信息

J Urban Health. 2019 Apr;96(2):311-337. doi: 10.1007/s11524-018-00326-0.

Abstract

Studies examining urban health and the environment must ensure comparability of measures across cities and countries. We describe a data platform and process that integrates health outcomes together with physical and social environment data to examine multilevel aspects of health across cities in 11 Latin American countries. We used two complementary sources to identify cities with ≥ 100,000 inhabitants as of 2010 in Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Nicaragua, Panama, and Peru. We defined cities in three ways: administratively, quantitatively from satellite imagery, and based on country-defined metropolitan areas. In addition to "cities," we identified sub-city units and smaller neighborhoods within them using census hierarchies. Selected physical environment (e.g., urban form, air pollution and transport) and social environment (e.g., income, education, safety) data were compiled for cities, sub-city units, and neighborhoods whenever possible using a range of sources. Harmonized mortality and health survey data were linked to city and sub-city units. Finer georeferencing is underway. We identified 371 cities and 1436 sub-city units in the 11 countries. The median city population was 234,553 inhabitants (IQR 141,942; 500,398). The systematic organization of cities, the initial task of this platform, was accomplished and further ongoing developments include the harmonization of mortality and survey measures using available sources for between country comparisons. A range of physical and social environment indicators can be created using available data. The flexible multilevel data structure accommodates heterogeneity in the data available and allows for varied multilevel research questions related to the associations of physical and social environment variables with variability in health outcomes within and across cities. The creation of such data platforms holds great promise to support researching with greater granularity the field of urban health in Latin America as well as serving as a resource for the evaluation of policies oriented to improve the health and environmental sustainability of cities.

摘要

研究城市健康和环境问题必须确保各国各城市的测量指标具有可比性。我们描述了一个数据平台和流程,该平台和流程将健康结果与物理和社会环境数据相结合,以检查 11 个拉丁美洲国家的城市之间的多层次健康问题。我们使用了两种互补的来源来确定截至 2010 年人口超过 10 万的城市,这些城市分布在阿根廷、巴西、智利、哥伦比亚、哥斯达黎加、萨尔瓦多、危地马拉、墨西哥、尼加拉瓜、巴拿马和秘鲁。我们以三种方式定义城市:行政上的、基于卫星图像的定量方法和基于国家界定的大都市区的方法。除了“城市”,我们还使用普查层次结构在其中识别出次城市单元和较小的邻里。尽可能使用各种来源为城市、次城市单元和邻里收集选定的物理环境(例如城市形态、空气污染和交通)和社会环境(例如收入、教育、安全)数据。协调死亡率和健康调查数据与城市和次城市单元相关联。更精细的地理参考正在进行中。我们在 11 个国家中确定了 371 个城市和 1436 个次城市单元。城市人口中位数为 234553 人(IQR 141942;500398)。城市的系统组织是该平台的初始任务,目前已经完成,正在进行的进一步开发包括使用现有来源协调死亡率和调查措施,以进行国家间比较。可以使用现有数据创建一系列物理和社会环境指标。灵活的多层次数据结构可以适应可用数据的异质性,并允许提出与物理和社会环境变量与城市内部和城市之间健康结果的变异性相关的各种多层次研究问题。创建这样的数据平台有望支持更精细地研究拉丁美洲的城市健康领域,并为评估旨在改善城市健康和环境可持续性的政策提供资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a722/6458229/175cadbeed57/11524_2018_326_Fig1_HTML.jpg

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