The Canadian Urban Environmental Health Research Consortium (CANUE)
The Canadian Urban Environmental Health Research Consortium (CANUE)
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加拿大城市环境健康研究联盟 (CANUE)
DOI：
10.23889/ijpds.v3i4.715
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
J. Brook
中科院分区：
文献类型：
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作者：
D. Doiron;Eleanor M. Setton;Evan Seed;M. Shooshtari;J. Brook
IntroductionHealth和环境暴露数据库通常孤立在加拿大各地的不同研究机构，并将其整合为环境健康研究是一个相当大的挑战。促进这些数据库之间的联系对于提供新的分析机会和帮助提高健康环境决定因素研究的效率至关重要。
目标和方法CANUE是加拿大卫生研究院资助的支持环境健康研究的平台。CANUE整理并生成关于加拿大每个邮政编码的空气和噪音污染、土地使用、绿色/自然空间、气候变化/极端天气和社会经济条件的标准化环境数据，并免费提供给研究人员。CANUE正在开发系统和程序，以促进这些广泛的地理空间照射与加拿大各地现有的观测队列和行政卫生数据库的共享和整合。这种联系将使调查人员能够检验关于环境特征与健康影响或益处之间相互依存关系的假设。
CANUE现在拥有十几个国家暴露数据库和相关的元数据文件，并积极增加新的区域和国家数据集。已经制定了简化的数据共享程序，以方便与卫生数据合并。还与各种健康数据持有者进行了大量协商，以建立接收和管理环境数据的适当程序，特别侧重于应对不同的道德、同意和保密要求带来的挑战。这些过程有助于加快研究过程，使分析准备数据提供给调查人员，创造机会，研究如何将多种环境因素与广泛的健康结果，并普遍增加使用健康和人口数据库的环境健康研究。
结论/ImplicationsCANUE协作模型说明了如何生产的政策相关的证据，可以通过更好地协调环境卫生研究人员和健康数据库的链接。CANUE正在通过简化链接和访问标准化暴露数据集来提高环境流行病学研究的科学潜力和成本效益。
IntroductionHealth and environmental exposure databases are generally siloed in different research institutions across Canada and integrating them for environmental health research is a considerable challenge. Facilitating the linkage of these databases is essential to provide new analytical opportunities and help create efficiencies for research on environmental determinants of health.
Objectives and ApproachCANUE is a Canadian Institutes of Health Research-funded platform for supporting environmental health research. CANUE collates and generates standardized environmental data on air and noise pollution, land use, green/natural spaces, climate change/extreme weather, and socioeconomic conditions for every postal code in Canada and makes them freely available to researchers. Systems and procedures are being developed by CANUE to facilitate the sharing and integration of these extensive geospatial exposures with existing observational cohorts and administrative health databases across Canada. This linkage will enable investigators to test hypotheses on the interdependent associations of environmental features with health impacts or benefits.
ResultsCANUE now hosts a dozen national exposure databases and related metadata files, and actively adds new regional and national datasets. Streamlined processes for data sharing have been developed to facilitate easy merging with health data. Substantial consultation has also taken place with a wide range of health data holders to establish appropriate processes for receiving and managing environmental data, with particular focus on addressing challenges presented by differing ethics, consent and confidentiality requirements. These processes help accelerate the research process by making analysis-ready data available to investigators, create opportunities to study how multiple environmental factors are linked to a wide range of health outcomes, and generally increase the use of health and population databases for environmental health research.
Conclusion/ImplicationsThe CANUE collaborative model illustrates how the production of policy-relevant evidence can be advanced through better coordination among environmental health researchers and linkage with health databases. CANUE is improving the scientific potential and cost-effectiveness of research in environmental epidemiology through streamlining linkage and access to standardized exposure datasets.