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政策导致的空气污染健康差距:统计和数据科学的考虑。

Policy-induced air pollution health disparities: Statistical and data science considerations.

机构信息

Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.

出版信息

Science. 2024 Jul 26;385(6707):391-396. doi: 10.1126/science.adp1870. Epub 2024 Jul 25.

DOI:10.1126/science.adp1870
PMID:39052789
Abstract

Air pollution causes premature death and disease and disproportionately harms non-white and lower-income groups in the United States. Government policies are responsible for the racial disparity in air pollution exposure and related health outcomes. Investigating complex relationships between policies, air pollution, and health requires (i) harmonized data connecting policies, environmental exposures, socioeconomic characteristics, and health at the individual and area level; (ii) interpretable estimands accounting for the complex interplay between policies and disparities in exposures and health outcomes; and (iii) data science approaches that can elucidate direct and indirect policy effects on disparities to identify effective interventions. We review statistical considerations and new data science approaches needed to scrutinize the policy impacts on disparities in air pollution exposure and health outcomes.

摘要

空气污染导致过早死亡和疾病,而且不成比例地对美国的非白人和低收入群体造成伤害。政府政策是导致空气污染暴露和相关健康结果存在种族差异的原因。调查政策、空气污染和健康之间的复杂关系需要:(i) 协调的数据将政策、环境暴露、社会经济特征和个人及地区层面的健康联系起来;(ii) 可解释的估计量,以说明政策与暴露和健康结果差异之间的复杂相互作用;以及 (iii) 数据分析方法,可以阐明政策对差异的直接和间接影响,以确定有效的干预措施。我们审查了审查政策对空气污染暴露和健康结果差异的影响所需的统计考虑因素和新的数据分析方法。

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本文引用的文献

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Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution.用于估计母亲暴露于空气污染的个性化影响的异质分布滞后模型
J Am Stat Assoc. 2024;119(545):14-26. doi: 10.1080/01621459.2023.2258595. Epub 2023 Nov 9.
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Matching on Generalized Propensity Scores with Continuous Exposures.基于广义倾向得分匹配连续暴露因素
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3
Associations of fine particulate matter with incident cardiovascular disease; comparing models using ZIP code-level and individual-level fine particulate matter and confounders.
细颗粒物与心血管疾病发病风险的相关性;使用邮政编码水平和个体水平的细颗粒物及混杂因素比较模型。
Sci Total Environ. 2024 May 20;926:171866. doi: 10.1016/j.scitotenv.2024.171866. Epub 2024 Mar 21.
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Measuring long-term exposure to wildfire PM in California: Time-varying inequities in environmental burden.测量加利福尼亚野火 PM 的长期暴露情况:环境负担的时变不平等。
Proc Natl Acad Sci U S A. 2024 Feb 20;121(8):e2306729121. doi: 10.1073/pnas.2306729121. Epub 2024 Feb 13.
5
Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States.结合总体数据和个体层面数据,以估计美国空气污染与新冠肺炎死亡率之间的个体层面关联。
PLOS Glob Public Health. 2023 Aug 2;3(8):e0002178. doi: 10.1371/journal.pgph.0002178. eCollection 2023.
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Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality.利用具有连续易出错暴露因素估计因果暴露反应函数:细颗粒物与全因死亡率的研究
J Agric Biol Environ Stat. 2023 Mar;28(1):20-41. doi: 10.1007/s13253-022-00508-z. Epub 2022 Sep 11.
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Air Pollution and Mortality at the Intersection of Race and Social Class.空气污染与种族和社会阶层交叉处的死亡率。
N Engl J Med. 2023 Apr 13;388(15):1396-1404. doi: 10.1056/NEJMsa2300523. Epub 2023 Mar 24.
8
Location-specific strategies for eliminating US national racial-ethnic [Formula: see text] exposure inequality.消除美国国家种族-民族[公式:见正文]暴露不平等的特定地点策略。
Proc Natl Acad Sci U S A. 2022 Nov;119(44):e2205548119. doi: 10.1073/pnas.2205548119. Epub 2022 Oct 24.
9
Defining Health Equity.定义健康公平。
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10
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