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Climate Variability and Dengue Hemorrhagic Fever in Hanoi, Viet Nam, During 2008 to 2015

机译:越南河内的气候变异性和登革热出血热,2008年至2015年

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摘要

Dengue fever/dengue hemorrhagic fever (DF/DHF) has been an important public health challenge in Viet Nam and worldwide. This study was implemented in 2016-2017 using retrospective secondary data to explore associations between monthly DF/DHF cases and climate variables during 2008 to 2015. There were 48175 DF/DHF cases reported, and the highest number of cases occurred in November. There were significant correlations between monthly DF/DHF cases with monthly mean of evaporation (r = 0.236, P .05), monthly relative humidity (r = -0.358, P .05), and monthly total hours of sunshine (r = 0.389, P .05). The results showed significant correlation in lag models but did not find direct correlations between monthly DF/DHF cases and monthly average rainfall and temperature. The study recommended that health staff in Hanoi should monitor DF/DHF cases at the beginning of epidemic period, starting from May, and apply timely prevention and intervention measures to avoid the spreading of the disease in the following months. A larger scale study for a longer period of time and adjusting for other potential influencing factors could better describe the correlations, modelling/projection, and developing an early warning system for the disease, which is important under the impacts of climate change and climate variability.
机译:登革热/登革热出血热(DF / DHF)是越南和全球的重要公共卫生挑战。本研究在2016-2017实施了回顾性的二级数据,以探讨2008年至2015年期间每月DF / DHF病例和气候变量之间的关联。报告了48175例DF / DHF病例,11月发生的案件数量最多。每月DF / DHF病例之间具有显着的相关性,每月蒸发平均值(r = 0.236,p& 05),每月相对湿度(r = -0.358,p& .05),以及每月阳光的每月总小时数( r = 0.389,p& .05)。结果表明滞后模型中的显着相关性,但在每月DF / DHF病例和月平均降雨和温度下没有发现直接相关性。该研究建议河内的卫生工作人员应在流行期初监测DF / DHF病例,从5月开始,并采取及时预防和干预措施,以避免在接下来的几个月内传播疾病。更长的时间较长时间和调整其他潜在的影响因素可以更好地描述该疾病的相关性,建模/投影和开发早期预警系统,这在气候变化和气候变异性的影响下是重要的。

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