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U.S. Centers for Disease Control and Prevention's (CDC) National Environmental Public Health Tracking Program

机译:美国疾病控制与预防中心(CDC)国家环境公共卫生跟踪计划

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The mission of the United States Centers for Disease Control and Prevention's (CDC) National Environmental Public Health Tracking Program (Tracking Program) is to provide information from a nationwide network of integrated health and environmental data that drives actions to improve the health of communities. In collaboration with partners, the Tracking Program identifies priority environmental health issues, determines key surveillance questions, and evaluates the utility of existing data for answering the question and informing the issue. Selected data are integrated into the National Environmental Public Health Tracking Network and used to (1) describe temporal and spatial trends in disease and potential environmental exposures, (2) identify populations most affected, (3) generate hypotheses about associations between health and environmental exposures, and (4) develop, guide, and assess the environmental public health policies and interventions aimed at reducing or eliminating health outcomes associated with environmental factors. Gaps in data are addressed by developing standards for new data collections, models, or new methodologies for using existing data, or by expanding the utility of non-traditional public health data. Current data challenges include the need for more temporally and spatially resolved data to better understand the complex relationships between environmental hazards, health outcomes, and risk factors at a local level. National standards are in development for systematically generating, analyzing, and disseminating small area data and real-time data that will allow for comparisons between different datasets over geography and time.
机译:美国疾病控制与预防中心(CDC)的国家环境公共卫生追踪计划(Tracking Program)的任务是从全国范围内的综合健康和环境数据网络中提供信息,以推动采取行动改善社区的健康状况。跟踪计划与合作伙伴合作,确定优先的环境健康问题,确定关键的监控问题,并评估现有数据用于回答问题和通知问题的效用。选定的数据已整合到国家环境公共卫生追踪网络中,并用于(1)描述疾病和潜在环境暴露的时空趋势;(2)确定受影响最大的人群;(3)得出关于健康与环境暴露之间关联的假设(4)制定,指导和评估旨在减少或消除与环境因素相关的健康结果的环境公共卫生政策和干预措施。通过开发用于使用现有数据的新数据收集,模型或新方法的标准,或通过扩展非传统公共卫生数据的效用,可以解决数据中的空白。当前的数据挑战包括需要更多的时间和空间解析数据,以便更好地了解本地环境风险,健康结果和风险因素之间的复杂关系。正在开发用于系统地生成,分析和分发小区域数据和实时数据的国家标准,这将允许在地理和时间上对不同数据集进行比较。

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