关键词: AirQ WHO air pollution burden of disease health risk assessment

来  源:   DOI:10.3389/phrs.2024.1606969   PDF(Pubmed)

Abstract:
UNASSIGNED: We evaluated studies that used the World Health Organization\'s (WHO) AirQ and AirQ+ tools for air pollution (AP) health risk assessment (HRA) and provided best practice suggestions for future assessments.
UNASSIGNED: We performed a comprehensive review of studies using WHO\'s AirQ and AirQ+ tools, searching several databases for relevant articles, reports, and theses from inception to Dec 31, 2022.
UNASSIGNED: We identified 286 studies that met our criteria. The studies were conducted in 69 countries, with most (57%) in Iran, followed by Italy and India (∼8% each). We found that many studies inadequately report air pollution exposure data, its quality, and validity. The decisions concerning the analysed population size, health outcomes of interest, baseline incidence, concentration-response functions, relative risk values, and counterfactual values are often not justified, sufficiently. Many studies lack an uncertainty assessment.
UNASSIGNED: Our review found a number of common shortcomings in the published assessments. We suggest better practices and urge future studies to focus on the quality of input data, its reporting, and associated uncertainties.
摘要:
我们评估了使用世界卫生组织(WHO)AirQ和AirQ+工具进行空气污染(AP)健康风险评估(HRA)的研究,并为未来评估提供了最佳实践建议。
我们使用WHO的AirQ和AirQ+工具对研究进行了全面审查,在几个数据库中搜索相关文章,reports,和论文从成立到2022年12月31日。
我们确定了286项符合我们标准的研究。这些研究在69个国家进行,大多数(57%)在伊朗,其次是意大利和印度(各8%)。我们发现许多研究报告空气污染暴露数据不足,其质量,和有效性。关于分析人口规模的决定,感兴趣的健康结果,基线发病率,浓度-响应函数,相对风险值,反事实价值观往往是不合理的,足够。许多研究缺乏不确定性评估。
我们的审查发现了已发布的评估中的一些常见缺陷。我们建议更好的做法,并敦促未来的研究关注输入数据的质量,其报告,和相关的不确定性。
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