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How climate change can affect cholera incidence and prevalence? A systematic review

机译:气候变化如何影响霍乱发病率和普遍存在? 系统评价

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摘要

Although the number of cholera infection decreased universally, climate change can potentially affect both incidence and prevalence rates of disease in endemic regions. There is considerable consistent evidence, explaining the associations between cholera and climatic variables. However, it is essentially required to compare and interpret these relationships globally. The aim of the present study was to carry out a systematic review in order to identify and appraise the literature concerning the relationship between nonanthropogenic climatic variabilities such as extreme weather- and ocean-related variables and cholera infection rates. The systematic literature review of studies was conducted by using determined search terms via four major electronic databases (PubMed, Web of Science, Embase, and Scopus) according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. This search focused on published articles in English-language up to December 31, 2018. A total of 43 full-text studies that met our criteria have been identified and included in our analysis. The reviewed studies demonstrated that cholera incidence is highly attributed to climatic variables, especially rainfall, temperature, sea surface temperature (SST) and El Nino Southern Oscillation (ENSO). The association between cholera incidence and climatic variables has been investigated by a variety of data analysis methodologies, most commonly time series analysis, generalized linear model (GLM), regression analysis, and spatial/GIS. The results of this study assist the policy-makers who provide the efforts for planning and prevention actions in the face of changing global climatic variables.
机译:虽然霍乱感染的数量普遍降低,但气候变化可能会影响流行区域中疾病的发病率和患病率。有相当一致的证据,解释了霍乱和气候变量之间的关联。但是,它基本上需要在全球范围内比较和解释这些关系。本研究的目的是进行系统审查,以识别和评估关于非子化气候变量与诸如极端天气和海洋有关的变量和霍乱感染率之间的关系的文献。根据系统评论和Meta分析(PRISMA)方法的首选报告项目,通过使用4个主要电子数据库(PubMed,Sempase和Scopus)使用确定的搜索条件来进行研究的系统文献综述。这次搜索侧重于2018年12月31日的英语文章。共有43项全文研究,核准了我们的标准,并纳入了我们的分析。综述研究表明,霍乱发病率高度归因于气候变量,特别是降雨,温度,海面温度(SST)和EL NINO Southern振荡(ENSO)。通过各种数据分析方法,最常见的时间序列分析,广义线性模型(GLM),回归分析和空间/ GIS,研究了霍乱发病率和气候变量之间的关联。本研究的结果协助政策制定者在改变全球气候变量方面提供规划和预防行动的努力。

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