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东非的环境变化与裂谷热:超越“健康未来”计划的预测

Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES.

作者信息

Taylor David, Hagenlocher Michael, Jones Anne E, Kienberger Stefan, Leedale Joseph, Morse Andrew P

机构信息

Department of Geography, National University of Singapore.

出版信息

Geospat Health. 2016 Mar 31;11(1 Suppl):387. doi: 10.4081/gh.2016.387.

DOI:10.4081/gh.2016.387
PMID:27063733
Abstract

Outbreaks of Rift Valley fever (RVF), a relatively recently emerged zoonosis endemic to large parts of sub-Saharan Africa that has the potential to spread beyond the continent, have profound health and socio-economic impacts, particularly in communities where resilience is already low. Here output from a new, dynamic disease model [the Liverpool RVF (LRVF) model], driven by downscaled, bias-corrected climate change data from an ensemble of global circulation models from the Inter-Sectoral Impact Model Intercomparison Project run according to two radiative forcing scenarios [representative concentration pathway (RCP)4.5 and RCP8.5], is combined with results of a spatial assessment of social vulnerability to the disease in eastern Africa. The combined approach allowed for analyses of spatial and temporal variations in the risk of RVF to the end of the current century. Results for both scenarios highlight the high-risk of future RVF outbreaks, including in parts of eastern Africa to date unaffected by the disease. The results also highlight the risk of spread from/to countries adjacent to the study area, and possibly farther afield, and the value of considering the geography of future projections of disease risk. Based on the results, there is a clear need to remain vigilant and to invest not only in surveillance and early warning systems, but also in addressing the socio-economic factors that underpin social vulnerability in order to mitigate, effectively, future impacts.

摘要

裂谷热(RVF)是一种相对较新出现的人畜共患病,在撒哈拉以南非洲大部分地区流行,有可能传播到非洲大陆以外,其爆发会产生深远的健康和社会经济影响,特别是在复原力已经很低的社区。在此,由跨部门影响模型相互比较项目中全球环流模型集合的降尺度、偏差校正气候变化数据驱动的一个新的动态疾病模型[利物浦裂谷热(LRVF)模型]的输出结果,与对东非该疾病社会脆弱性的空间评估结果相结合。这种综合方法能够分析到本世纪末裂谷热风险的时空变化。两种情景的结果都凸显了未来裂谷热爆发的高风险,包括在东非迄今未受该疾病影响的部分地区。结果还凸显了在研究区域相邻国家之间传播的风险,甚至可能传播到更远的地方,以及考虑疾病风险未来预测地理情况的价值。基于这些结果,显然有必要保持警惕,不仅要投资于监测和预警系统,还要解决构成社会脆弱性基础的社会经济因素,以便有效减轻未来影响。

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