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Effects of weather factors on dengue fever incidence and implications for interventions in Cambodia

机译:天气因素对登革热发病率的影响及其对柬埔寨干预措施的影响

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Background Dengue viruses and their mosquito vectors are sensitive to their environment. Temperature, rainfall and humidity have well-defined roles in the transmission cycle. Therefore changes in these conditions may contribute to increasing incidence. The aim of this study was to examine the relationship between weather factors and dengue incidence in three provinces in Cambodia, in order to strengthen the evidence basis of dengue control strategies in this high-burden country. Methods We developed negative binomial models using monthly average maximum, minimum, mean temperatures and monthly cumulative rainfall over the period from January 1998 to December 2012. We adopted piecewise linear functions to estimate the incidence rate ratio (IRR) between dengue incidence and weather factors for simplicity in interpreting the coefficients. We estimated the values of parameters below cut-points defined in terms of the results of sensitivity tests over a 0-3 month lagged period. Results Mean temperature was significantly associated with dengue incidence in all three provinces, but incidence did not correlate well with maximum temperature in Banteay Meanchey, nor with minimum temperature in Kampong Thom at a lag of three months in the negative binomial model. The monthly cumulative rainfall influence on the dengue incidence was significant in all three provinces, but not consistently over a 0-3 month lagged period. Rainfall significantly affected the dengue incidence at a lag of 0 to 3?months in Siem Reap, but it did not have an impact at a lag of 2 to 3?months in Banteay Meanchey, nor at a lag of 2?months in Kampong Thom. Conclusions The association between dengue incidence and weather factors also apparently varies by locality, suggesting that a prospective dengue early warning system would likely be best implemented at a local or regional scale, rather than nation-wide in Cambodia. Such spatial down-scaling would also enable dengue control measures to be better targeted, timed and implemented.
机译:背景登革热病毒及其蚊媒对环境敏感。温度,降雨和湿度在传输周期中具有明确定义的作用。因此,这些状况的改变可能会增加发病率。这项研究的目的是研究柬埔寨三个省的天气因素与登革热发病率之间的关系,以加强该高负担国家登革热控制策略的证据基础。方法我们使用1998年1月至2012年12月期间的月平均最高,最低,平均温度和每月累积降雨量开发了负二项式模型。我们采用分段线性函数来估计登革热发病率与天气因素之间的发病率比(IRR)。解释系数简单。我们根据灵敏度测试的结果(在0-3个月的滞后时间内),估计了低于临界点的参数值。结果在所有三个省中,平均温度与登革热的发病率显着相关,但在负二项式模型中,发病率与三个月的滞后时间与Banteay Meanchey的最高温度和磅K的最低温度没有很好的相关性。在三个省份中,每月累积降雨对登革热发病率的影响均很大,但在0-3个月的滞后期间并不一致。在暹粒,降雨对登革热发病率的影响为0到3个月,但对班丹·梅奇(Banteay Meanchey)为2到3个月,或对甘榜托姆(Kampong Thom),都没有影响。 。结论登革热发病率与天气因素之间的关联性也因地区而异,这表明,预期的登革热早期预警系统可能最好在地方或区域范围内实施,而不是在柬埔寨全国范围内实施。这样的空间缩小还可以使登革热控制措施更好地针对性,及时性和实施性。

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