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Indicators for Tracking European Vulnerabilities to the Risks of Infectious Disease Transmission due to Climate Change

机译:追踪欧洲易受气候变化影响的传染病传播风险的指标

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摘要

A wide range of infectious diseases may change their geographic range, seasonality and incidence due to climate change, but there is limited research exploring health vulnerabilities to climate change. In order to address this gap, pan-European vulnerability indices were developed for 2035 and 2055, based upon the definition vulnerability = impact/adaptive capacity. Future impacts were projected based upon changes in temperature and precipitation patterns, whilst adaptive capacity was developed from the results of a previous pan-European study. The results were plotted via ArcGISTM to EU regional (NUTS2) levels for 2035 and 2055 and ranked according to quintiles. The models demonstrate regional variations with respect to projected climate-related infectious disease challenges that they will face, and with respect to projected vulnerabilities after accounting for regional adaptive capacities. Regions with higher adaptive capacities, such as in Scandinavia and central Europe, will likely be better able to offset any climate change impacts and are thus generally less vulnerable than areas with lower adaptive capacities. The indices developed here provide public health planners with information to guide prioritisation of activities aimed at strengthening regional preparedness for the health impacts of climate change. There are, however, many limitations and uncertainties when modeling health vulnerabilities. To further advance the field, the importance of variables such as coping capacity and governance should be better accounted for, and there is the need to systematically collect and analyse the interlinkages between the numerous and ever-expanding environmental, socioeconomic, demographic and epidemiologic datasets so as to promote the public health capacity to detect, forecast, and prepare for the health threats due to climate change.
机译:由于气候变化,各种各样的传染病可能会改变其地理范围,季节性和发病率,但是,针对健康易受气候变化影响的研究很少。为了弥补这一差距,根据脆弱性的定义=影响/适应能力,制定了2035年和2055年的泛欧脆弱性指数。根据温度和降水模式的变化预测未来的影响,而适应能力是根据先前的泛欧洲研究结果开发的。通过ArcGIS TM 将结果绘制到2035年和2055年的欧盟区域(NUTS2)水平,并按五分位数进行排名。这些模型展示了在应对气候变化相关的传染病挑战方面所面临的区域差异,以及在考虑了区域适应能力之后所预测的脆弱性方面的差异。具有较高适应能力的地区,例如斯堪的纳维亚半岛和中欧,可能会更好地抵消任何气候变化的影响,因此,与具有较低适应能力的地区相比,它们通常更不容易受到影响。此处制定的指数为公共卫生规划者提供了信息,以指导活动的优先次序,这些活动旨在加强区域对气候变化对健康的影响的准备。但是,在对健康漏洞进行建模时,存在许多限制和不确定性。为了进一步推动该领域的发展,应该更好地考虑变量的重要性,例如应对能力和治理,并且有必要系统地收集和分析众多且不断扩大的环境,社会经济,人口统计学和流行病学数据集之间的相互关系,因此以提高公共卫生能力,以发现,预测和应对气候变化带来的健康威胁。

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