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THE EFFECTS OF CLIMATE VARIABLES ON THE OUTBREAK OF DENGUE IN QUEENSLAND 2008-2009

机译:2008-2009年气候变量对登革热暴发的影响

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Outbreaks of dengue occur in Queensland, Australia nearly every summer. In 2008-2009, there was an unusually large, protracted outbreak of dengue, comprised of 1,200 cases. We investigated the weather variables and their contribution to the 2008-2009 dengue outbreak in Queensland. Case data were obtained from the Communicable Disease Branch of Queensland Health for 2000-2010 for the towns of Cairns and Townsville. Monthly weather data (rainfall, maximum temperature, minimum temperature) and Southern Oscillation Index (SOI) was obtained from the Bureau of Meteorology (BOM). We used a negative binomial model to test associations between these variables and dengue. Lagged models were also created for one, two and three months. Our models suggest all weather variables but not the SOI were associated with dengue in both Cairns and Townsville, without a lag (p<0.01). No significant lag was seen with the weather variables. Rainfall and temperature preceding the 2008-2009 outbreak were also not significantly different (p<0.01) from other years. Short-term (non-lagged) weather variables were associated with the number of dengue cases in Cairns and Townsville. No lag was seen and no association was seen between the SOI and the number of dengue cases, which suggests there may be limited potential to predict large dengue outbreaks using climate variability. The large outbreak in 2008-2009 may have been driven by other, non-weather factors in addition to the immediate weather effect.
机译:几乎每个夏天,昆士兰州都会爆发登革热。在2008-2009年间,爆发了一次大规模,持久的登革热暴发,共1200例。我们调查了天气变量及其对昆士兰州2008-2009年登革热暴发的影响。病例数据是从昆士兰卫生部传染病科获得的2000-2010年凯恩斯镇和汤斯维尔镇的数据。每月气象数据(降雨,最高温度,最低温度)和南方涛动指数(SOI)是从气象局(BOM)获得的。我们使用负二项式模型来测试这些变量与登革热之间的关联。滞后模型也被创建了一个,两个和三个月。我们的模型表明,凯恩斯和汤斯维尔的所有天气变量均与登革热相关,而与SOI无关,且无滞后(p <0.01)。天气变量未见明显滞后。与其他年份相比,2008-2009年爆发之前的降雨量和温度也没有显着差异(p <0.01)。短期(非滞后)天气变量与凯恩斯和汤斯维尔的登革热病例数相关。在SOI和登革热病例数之间未发现滞后现象,也未发现关联,这表明利用气候变异性预测大范围登革热暴发的潜力可能有限。 2008-2009年的大规模暴发可能是由即时天气影响之外的其他非天气因素造成的。

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