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Impact of Heat Waves on Sex Specific Mortality in Novi Sad

机译:热波对诺维悲伤性别特异性死亡率的影响

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Raising awareness on climate change resulted in climate scenarios characterized by more prolonged, frequent and intense periods of exceptionally hot weather. These periods, heat waves, have numerous consequences: raised energy costs, more frequent wildfires and droughts, damage to crops, heat stress to livestock and as especially concerning - heat related mortality in humans. Unable to cool itself effectively, human body easily succumbs to prolonged and intense heat stress. On average, in Europe, Australia and United States heat waves kill more humans than any other natural hazard. Yet, heat waves resist all-encompassing and widely accepted definition, consequences of which are myriads of models for calculating heat waves. Majority of these methods employ concomitant observation of temperature and humidity data in the range of a few consecutive days to see if they exceed certain percentiles for the specific location and habitat. In order to clarify impact of heat wave periods on mortality, we performed regression analysis for the city of Novi Sad. Heat wave duration index, HWDI, was calculated for warm season months. Mortality data were obtained from Serbian bureau of statistics for the period 1994 - 2000. For each observation we used total and sex-specific monthly mortality as dependent variable and existence of heat wave in observed month as categorical independent variable. Negative binomial regression analysis was carried out using MASS package in R programming language. In heat wave/non heat wave analysis, significant impact of heat waves on total female mortality [risk ratio RR=1.14; p<0.05] and total mortality [RR=1.08; p<0.05] was found.
机译:提高对气候变化的认识导致气候情景,其特征在于更长时间,经常和激烈的天气。这些时期,热浪,具有许多后果:提高能源成本,更频繁的野火和干旱,对农作物的损害,对牲畜的热应激以及人类的热死亡率特别有关。无法有效地冷却本身,人体容易屈服于长时间和强烈的热应力。平均而言,在欧洲,澳大利亚和美国热浪杀死更多人类而不是任何其他自然危害。然而,热波抵抗全包且广泛接受的定义,其后果是计算热波的模型的多数模型。这些方法中的大多数可以在连续几天的范围内伴随温度和湿度数据,以了解特定位置和栖息地超过一定百分比。为了澄清热浪时期对死亡率的影响,我们对诺维市悲伤进行了回归分析。热浪持续时间指数,HWDI计算为温暖的季节。从1994年至2000年期间从塞尔维亚统计局获得了死亡率数据。对于每次观察,我们使用总和性别的月度死亡率作为依赖变量和在观察到的月份中的热波作为分类独立变量。在R编程语言中使用大规模包进行负二项式回归分析。在热波/非热波分析中,热波对总雌性死亡率的显着影响[风险比RR = 1.14; P <0.05]和总死亡率[RR = 1.08;发现了P <0.05]。

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