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空气污染与健康影响的问责研究:健康影响研究所的经验。

Accountability Studies on Air Pollution and Health: the HEI Experience.

机构信息

Health Effects Institute, 75 Federal Street, Suite 1400, Boston, MA, 02110-1817, USA.

出版信息

Curr Environ Health Rep. 2017 Dec;4(4):514-522. doi: 10.1007/s40572-017-0161-0.

Abstract

PURPOSE OF REVIEW

Assessing health effects of air quality interventions is of ever-increasing interest. Given the prominent role Health Effects Institute (HEI) has played in accountability research, this review focuses on HEI's recent experiences, the challenges it has encountered, and provides possible directions for future research.

RECENT FINDINGS

Most accountability studies to date have focused on effects of relatively short-term, local-scale, and sometimes temporary interventions. Only a few recent accountability studies have sought to investigate large-scale, multiyear regulatory programs. Common challenges encountered include lack of statistical power, how to account appropriately for background trends in air quality and health, and difficulties in direct attribution of changes in air pollution and health to a single intervention among many regulatory actions. New methods have been developed for accountability research that has shown promise addressing some of those challenges, including use of causal inference methods. These and other approaches that would enhance the attribution of changes in air quality and health directly to an intervention should continue to be further explored. In addition, integration of social and behavioral sciences in accountability research is warranted, and climate related co-benefits and dis-benefits may be considered.

摘要

目的综述:评估空气质量干预措施对健康的影响一直是人们关注的焦点。鉴于健康影响研究所(HEI)在问责制研究中发挥的突出作用,本综述重点介绍了 HEI 的近期经验、所遇到的挑战,并为未来的研究提供了可能的方向。

发现:迄今为止,大多数问责制研究主要集中在相对短期、局部规模和有时是临时性的干预措施的影响上。只有少数最近的问责制研究试图调查大规模、多年的监管计划。共同遇到的挑战包括缺乏统计能力、如何适当地解释空气质量和健康的背景趋势、以及在许多监管行动中难以将空气污染和健康的变化直接归因于单一干预措施。已经为问责制研究开发了新的方法,这些方法在解决其中一些挑战方面显示出了希望,包括使用因果推理方法。应该进一步探索这些以及其他可以增强空气质量和健康变化直接归因于干预措施的方法。此外,有必要将社会和行为科学纳入问责制研究,并考虑与气候相关的共同利益和不利因素。

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