Ferguson Elspeth C, Maheswaran Ravi, Daly Mark
Int J Health Geogr. 2004 Oct 14;3(1):24. doi: 10.1186/1476-072X-3-24.
Asthma is a common disease and appears to be increasing in prevalence. There is evidence linking air pollution, including that from road-traffic, with asthma. Road traffic is also on the increase. Routine surveillance of the impact of road-traffic pollution on asthma, and other diseases, would be useful in informing local and national government policy in terms of managing the environmental health risk.Several methods for exposure assessment have been used in studies examining the association between asthma and road traffic pollution. These include comparing asthma prevalence in areas designated as high and low pollution areas, using distance from main roads as a proxy for exposure to road traffic pollution, using traffic counts to estimate exposure, using vehicular miles travelled and using modelling techniques. Although there are limitations to all these methods, the modelling approach has the advantage of incorporating several variables and may be used for prospective health impact assessment.The modelling approach is already in routine use in the United Kingdom in support of the government's strategy for air quality management. Combining information from such models with routinely collected health data would form the basis of a routine public health surveillance system. Such a system would facilitate prospective health impact assessment, enabling policy decisions concerned with road-traffic to be made with knowledge of the potential implications. It would also allow systematic monitoring of the health impacts when the policy decisions and plans have been implemented.
哮喘是一种常见疾病,其患病率似乎在上升。有证据表明空气污染,包括道路交通产生的污染,与哮喘有关。道路交通量也在增加。对道路交通污染对哮喘及其他疾病的影响进行常规监测,将有助于为地方和国家政府在管理环境卫生风险方面的政策提供信息。在研究哮喘与道路交通污染之间的关联时,已经使用了几种暴露评估方法。这些方法包括比较指定为高污染区和低污染区的哮喘患病率,将与主要道路的距离用作道路交通污染暴露的替代指标,使用交通流量计数来估计暴露,使用车辆行驶里程以及使用建模技术。尽管所有这些方法都有局限性,但建模方法具有纳入多个变量的优势,可用于前瞻性健康影响评估。建模方法在英国已被常规使用,以支持政府的空气质量管理战略。将此类模型的信息与常规收集的健康数据相结合,将构成常规公共卫生监测系统的基础。这样的系统将有助于进行前瞻性健康影响评估,使有关道路交通的政策决策能够在了解潜在影响的情况下做出。它还将允许在政策决策和计划实施后系统地监测健康影响。