Building an interdisciplinary framework to advance conceptual and technical aspects of population-environment research focused on women's and children's health

Building an interdisciplinary framework to advance conceptual and technical aspects of population-environment research focused on women's and children's health
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建立跨学科框架,推进以妇女和儿童健康为重点的人口环境研究的概念和技术方面

DOI:
10.1016/j.socscimed.2020.112857
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发表时间:
2020
影响因子:
5.4
通讯作者:
Van Riper, David
Van Riper, David
中科院分区:
医学2区
文献类型:
--
作者:
Grace, Kathryn;Billingsley, Sunnee;Van Riper, David

文献摘要

相似文献

在向研究人员提供可与人口健康数据相结合的地理空间数据方面取得了很大进展。鉴于人们对气候变化带来的人类健康后果感到关切,这一发展至关重要。由于时间和空间尺度范围很大,合并人口和环境数据在概念和技术上仍然具有挑战性。在这里,我们提出了一个框架,解决和推进人口环境研究的概念和技术方面。这一框架有助于考虑任何基于时间或空间的环境事件如何影响人口健康结果,并可用于指导不同的数据汇总战略。这里讨论的主要考虑因素是如何正确地模拟环境背景对个人层面的健康成果,特别是孕产妇,儿童和生殖健康成果的空间和时间影响。地球空间健康数据和非常详细的环境数据的大量涌入,往往是每天的规模,为人口-环境研究人员提供了一个机会,使他们能够在研究环境与健康之间的联系方面采取一种理论上和分析上更加合理的方法。
Great gains have been made in providing researchers geo-spatial data that can be combined with population health data. This development is crucial given concerns over the human health outcomes associated with a changing climate. Merging population and environmental data remains both conceptually and technically challenging because of a large range of temporal and spatial scales. Here we propose a framework that addresses and advances both conceptual and technical aspects of population-environment research. This framework can be useful for considering how any time or space-based environmental occurrence influences population health outcomes and can be used to guide different data aggregation strategies. The primary consideration discussed here is how to properly model the space and time effects of environmental context on individual-level health outcomes, specifically maternal, child and reproductive health outcomes. The influx of geospatial health data and highly detailed environmental data, often at daily scales, provide an opportunity for population-environment researchers to move towards a more theoretically and analytically sound approach for studying environment and health linkages.