AIR POLLUTION AND WEATHER-RELATED HEALTH IMPACTS: METHODOLOGICAL STUDY BASED ON SPATIO-TEMPORALLY DISAGGREGATED MULTI-POLLUTANT MODELS FOR PRESENT-DAY

空气污染和与天气相关的健康影响：基于当今时空分解多污染物模型的方法研究

• 批准号: NE/I008063/1
• 负责人: Ruth Doherty
• 金额: $ 64.93万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FI008063%2F1
• 关键词: AIR; POLLUTION; WEATHER; RELATED; HEALTH

There is a large and convincing body of epidemiological evidence linking short term exposure to outdoor air pollutants to adverse health effects. However, most of this evidence is derived from studies that have linked single pollutants to health in urban environments. There is increasing recognition that greater protection against the adverse health effects of air pollution could be achieved by focusing research and policy not on individual pollutants, but by a multi-pollutant approach. Furthermore, the spatial variation in pollutant concentrations and their health impacts, especially in rural areas and areas outside the larger cities where much of the UK population reside, are not-well established. Socio-economic impacts (and related issues of environmental justice) and other geographically-determined factors, including housing characteristics (indoor pollution), are also potential modifiers of exposure to outdoor air pollution. The increasing complexity of the scientific inquiry is matched by the difficulties of formulating, proving and implementing appropriate regulatory policy. This proposal builds upon an existing collaboration between researchers in the environmental and health disciplines, with the addition of investigators and practitioners from the policy and social science fields. Our proposal aims to provide new epidemiological evidence on the health impacts of exposure to multiple pollutants; to examine the implications of such evidence for regulation and control of air quality; and to assess how uncertainties in evidence affect its translation into actionable evidence-based policies and the evaluation of their costs and benefits. There are several unique innovations in our study: 1) the development of long series of high resolution (5 km) datasets for daily concentrations of a range of pollutants and weather data, linked to geo-referenced health data including daily mortality, hospital admissions and data on heart attacks; 2) an examination of the contribution of the indoor environment as a modifier of exposure to outdoor pollutants to provide an integrated assessment of the risks to health of short term exposure to air pollution; 3) an integrated assessment of the health effects of various near-term future air quality and climate policies in 2030 as well as selected emissions reduction policies for the UK; 4) the development of a 'decision analysis' tool that includes assessment of uncertainties and can be used to infer the likely outcomes of these various policy choices.

有大量令人信服的流行病学证据将短期暴露在室外空气污染物与有害健康影响联系起来。然而，这些证据大多来自将单一污染物与城市环境中的健康联系起来的研究。越来越多的人认识到，通过将研究和政策的重点不放在单个污染物上，而是采取多种污染物的办法，可以更好地保护人们免受空气污染对健康的不利影响。此外，污染物浓度的空间差异及其对健康的影响，特别是在农村地区和英国大部分人口居住的大城市以外的地区，还没有得到很好的证实。社会经济影响(以及相关的环境正义问题)和其他地理决定因素，包括住房特征(室内污染)，也是暴露于室外空气污染的潜在影响因素。科学研究的日益复杂，伴随着制定、证明和实施适当的监管政策的困难。这项建议建立在环境和健康学科研究人员之间现有合作的基础上，增加了政策和社会科学领域的研究人员和从业人员。我们的建议旨在就接触多种污染物对健康的影响提供新的流行病学证据；审查这些证据对空气质量监管和控制的影响；并评估证据中的不确定性如何影响将其转化为可操作的循证政策，以及评估其成本和收益。我们的研究有几个独特的创新：1)开发了一系列污染物每日浓度和天气数据的长系列高分辨率(5公里)数据集，与地理参考的健康数据相关联，包括每日死亡率、住院人数和心脏病发作数据；2)审查室内环境作为室外污染物暴露的修正因素的贡献，以综合评估短期暴露于空气污染对健康的风险；3)对2030年各种近期未来空气质量和气候政策以及英国选定的减排政策对健康的影响进行综合评估；4)开发一种“决策分析”工具，其中包括对不确定性的评估，并可用来推断这些不同政策选择的可能结果。

项目成果

Concentration-response function for ozone and daily mortality: results from five urban and five rural U.K. populations.

• DOI: 10.1289/ehp.1104108
• 发表时间: 2012-10
• 期刊: Environmental health perspectives
• 影响因子: 10.4
• 作者: Atkinson RW;Yu D;Armstrong BG;Pattenden S;Wilkinson P;Doherty RM;Heal MR;Anderson HR
• 通讯作者: Anderson HR

Myocardial infarction, ST-elevation and non-ST-elevation myocardial infarction and modelled daily pollution concentrations: a case-crossover analysis of MINAP data.

• DOI: 10.1136/openhrt-2016-000429
• 发表时间: 2016
• 期刊: Open heart
• 影响因子: 2.7
• 作者: Butland BK;Atkinson RW;Milojevic A;Heal MR;Doherty RM;Armstrong BG;MacKenzie IA;Vieno M;Lin C;Wilkinson P
• 通讯作者: Wilkinson P

Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies

• DOI: 10.1016/j.atmosenv.2017.08.057
• 发表时间: 2017-10
• 期刊: Atmospheric Environment
• 影响因子: 5
• 作者: Z. Chalabi;Ai Milojevic;R. Doherty;D. Stevenson;I. MacKenzie;J. Milner;M. Vieno;Martin L Williams;P. Wilkinson

Observational constraints on ozone radiative forcing from the Atmospheric Chemistry Climate Model Intercomparison Project (ACCMIP)

• DOI: 10.5194/acpd-12-23603-2012
• 发表时间: 2012-09
• 期刊: Atmospheric Chemistry and Physics
• 影响因子: 6.3
• 作者: K. Bowman;D. Shindell;H. Worden;J. Lamarque;P. Young;D. Stevenson;Z. Qu;M. Torre;D. Bergmann;P. Cameron-smith;W. Collins;R. Doherty;S. Dalsøren;G. Faluvegi;G. Folberth;L. Horowitz;B. Josse;Y. Lee;I. MacKenzie;G. Myhre;T. Nagashima;V. Naik;D. Plummer;S. Rumbold;R. Skeie;S. Strode;K. Sudo;S. Szopa;A. Voulgarakis;G. Zeng;S. Kulawik;J. Worden

Measurement error in time-series analysis: a simulation study comparing modelled and monitored data.

• DOI: 10.1186/1471-2288-13-136
• 发表时间: 2013-11-13
• 期刊: BMC medical research methodology
• 影响因子: 4
• 作者: Butland BK;Armstrong B;Atkinson RW;Wilkinson P;Heal MR;Doherty RM;Vieno M
• 通讯作者: Vieno M