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生物统计学与流行病学在空气污染健康影响研究中的协同作用

Synergy of Biostatistics and Epidemiology in Air Pollution Health Effects Studies.

作者信息

Dockery Douglas W

机构信息

Department of Environmental Health Harvard TH Chan School of Public Health 665 Huntington Ave Boston MA 02115 USA.

出版信息

Int Stat Rev. 2022 Dec;90(Suppl 1):S67-S81. doi: 10.1111/insr.12525. Epub 2022 Oct 21.

DOI:10.1111/insr.12525
PMID:36636699
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9828424/
Abstract

The extraordinary advances in quantifying the health effects of ambient air pollution over the last five decades have led to dramatic improvement in air quality in the United States. This work has been possible through innovative epidemiologic study designs coupled with advanced statistical analytic methods. This paper presents a historical perspective on the coordinated developments of epidemiologic designs and statistical methods for air pollution health effects studies at the Harvard School of Public Health.

摘要

在过去五十年里，量化环境空气污染对健康影响方面取得的非凡进展，使美国空气质量得到了显著改善。通过创新的流行病学研究设计与先进的统计分析方法相结合，这项工作得以实现。本文从历史角度介绍了哈佛公共卫生学院在空气污染对健康影响研究方面，流行病学设计与统计方法的协同发展情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/c93ece67a1ca/INSR-90-S67-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/a426c15d30bf/INSR-90-S67-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/1f1919f88bf5/INSR-90-S67-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/9ac4a13b9578/INSR-90-S67-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/79060a0fd064/INSR-90-S67-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/02d060477887/INSR-90-S67-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/c93ece67a1ca/INSR-90-S67-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/a426c15d30bf/INSR-90-S67-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/1f1919f88bf5/INSR-90-S67-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/9ac4a13b9578/INSR-90-S67-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/79060a0fd064/INSR-90-S67-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/02d060477887/INSR-90-S67-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eaf/9828424/c93ece67a1ca/INSR-90-S67-g004.jpg

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本文引用的文献

1
Invited Commentary: The Promise and Pitfalls of Causal Inference With Multivariate Environmental Exposures.特邀评论：多变量环境暴露的因果推理的承诺与陷阱。
Am J Epidemiol. 2021 Dec 1;190(12):2658-2661. doi: 10.1093/aje/kwab142.
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Emulating causal dose-response relations between air pollutants and mortality in the Medicare population.在 Medicare 人群中模拟空气污染物与死亡率之间的因果剂量反应关系。
Environ Health. 2021 May 6;20(1):53. doi: 10.1186/s12940-021-00742-x.
3
Short term exposure to fine particulate matter and hospital admission risks and costs in the Medicare population: time stratified, case crossover study.
短期暴露于细颗粒物与 Medicare 人群住院风险和费用的关系：时间分层病例交叉研究。
BMJ. 2019 Nov 27;367:l6258. doi: 10.1136/bmj.l6258.
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An ensemble-based model of PM concentration across the contiguous United States with high spatiotemporal resolution.一种具有高时空分辨率的美国大陆地区 PM 浓度的集合模型。
Environ Int. 2019 Sep;130:104909. doi: 10.1016/j.envint.2019.104909. Epub 2019 Jul 1.
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Causal Modeling in Environmental Health.环境健康中的因果建模。
Annu Rev Public Health. 2019 Apr 1;40:23-43. doi: 10.1146/annurev-publhealth-040218-044048. Epub 2019 Jan 11.
6
A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text], and [Formula: see text] on Mortality.全国多城市分析局部污染、[公式：见正文]和[公式：见正文]对死亡率的因果效应。
Environ Health Perspect. 2018 Aug;126(8):087004. doi: 10.1289/EHP2732.
7
Impact of National Ambient Air Quality Standards Nonattainment Designations on Particulate Pollution and Health.国家环境空气质量标准不达标的影响对颗粒物污染和健康的影响。
Epidemiology. 2018 Mar;29(2):165-174. doi: 10.1097/EDE.0000000000000777.
8
Best Practices for Gauging Evidence of Causality in Air Pollution Epidemiology.衡量空气污染流行病学中因果关系证据的最佳实践。
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Causal Inference Methods for Estimating Long-Term Health Effects of Air Quality Regulations.用于评估空气质量法规长期健康影响的因果推断方法。
Res Rep Health Eff Inst. 2016 May(187):5-49.
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Estimating Causal Effects of Local Air Pollution on Daily Deaths: Effect of Low Levels.评估局部空气污染对每日死亡人数的因果效应：低水平污染的影响。
Environ Health Perspect. 2017 Jan;125(1):23-29. doi: 10.1289/EHP232. Epub 2016 May 20.