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The Effect of Rainfall on the Incidence of Cholera in Bangladesh.

机译:降雨对孟加拉国霍乱发病率的影响。

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BACKGROUND:: The incidence of cholera in Bangladesh shows clear seasonality, suggesting that weather factors could play a role in its epidemiology. We estimated the effects of rainfall on the incidence of cholera in Dhaka, Bangladesh. METHODS:: We examined time-series patterns of the weekly number of hospital visits due to cholera in relation to weekly rainfall from 1996 to 2002. We used Poisson regression models, adjusted for seasonal variation, between-year variation, public holidays, and temperature. The role of river level on the rainfall-cholera relationship was also examined by incorporating river-level terms into the models. RESULTS:: The weekly number of cholera cases increased by 14% (95% confidence interval = 10.1%-18.9%) for each 10-mm increase above the threshold of 45 mm for the average rainfall, over lags 0 to 8 weeks. Conversely, the number of cholera cases increased by 24% (10.7%-38.6%) for a 10-mm decrease below the same threshold of average rainfall, over lags 0 to 16 weeks. River level partly explained the association between high rainfall and the number of cholera cases. CONCLUSIONS:: The number of cholera cases increased with both high and low rainfall in the weeks preceding hospital visits. These results suggest that factors associated with river level are on the causal pathway between high rainfall and incidence of cholera.
机译:背景:孟加拉国霍乱的发病率显示明显的季节性,表明天气因素可能在其流行病学中起作用。我们估计了降雨对孟加拉国达卡霍乱发病率的影响。方法:我们研究了1996年至2002年期间霍乱引起的每周医院就诊次数与每周降雨量之间的时间序列模式。我们使用了Poisson回归模型,对季节变化,年间变化,公共假期和温度进行了调整。通过将河流水位项纳入模型,还检验了河流水位在降雨与霍乱关系中的作用。结果:在0至8周的滞后时间内,每超过10mm,平均降雨量超过45mm,每周霍乱病例数增加14%(95%置信区间= 10.1%-18.9%)。相反,在0到16周的滞后时间内,霍乱病例数增加了24%(10.7%-38.6%),下降了10毫米,低于相同的平均降雨量阈值。河流水平在一定程度上解释了高降雨与霍乱病例数之间的关系。结论:在医院就诊的前几周,高雨量和低雨量均导致霍乱病例增加。这些结果表明,与河流水位有关的因素是高降雨与霍乱发病之间的因果关系。

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