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首页> 外文期刊>EcoHealth >Transmission Dynamics of the West Nile Virus in Mosquito Vector Populations under the Influence of Weather Factors in the Danube Delta, Romania
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Transmission Dynamics of the West Nile Virus in Mosquito Vector Populations under the Influence of Weather Factors in the Danube Delta, Romania

机译:罗马尼亚多瑙河三角洲天气因子影响下蚊子矢量人群的西尼罗病毒的传播动态

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Mosquitoes were collected in the Danube Delta during the active seasons of 2011-2013. For Culex spp. mosquitoes, the abundance was calculated. Culex pipiens (sensu lato), (s.l.) and Culex modestus pools were tested for the presence of West Nile virus (WNV) genome, and the maximum likelihood of the infection rate was established. Mean daily temperatures and precipitation were obtained for the closest meteorological station. A negative binominal model was used to evaluate linkages between the temperature/precipitation and mosquito population size. A zero-inflated negative binomial model was used to test the relationship between the temperature and the infection rate. A single complex model for infection rate prediction was also used. The linkages were calculated for lag 0 and for 10 days earlier (lag 1), 20 days earlier (lag 2), and 30 days earlier (lag 3). Significant positive linkages (P < 0.001) were detected between temperature and mosquito population size for lag 1, lag 2, and lag 3. The linkages between temperature and infection rates were positive and significant for lag 2 and lag 3. Negative significant (P < 0.001) results were detected between precipitation and infection rates for lags 1, 2, and 3. The complex model showed that the best predictors for infection rate are the temperature, 20 days earlier (positive linkage) and the precipitation, 30 days earlier (negative linkage). Positive temperature anomalies in spring and summer and rainfall decrease contributed to the increase in the Culex spp. abundance and accelerated the WNV amplification in mosquito vector populations in the following weeks.
机译:在2011 - 2013年的活动季节,在多瑙河三角洲收集了蚊子。对于Culex SPP。蚊子,计算了丰富。 Culex Pipiens(Sensu Lato),(S.L.)和Culex Modestus Pools进行了西尼罗病毒(WNV)基因组的存在,并建立了感染率的最大可能性。为最近的气象站获得了平均日温度和降水。负二聚体模型用于评估温度/降水和蚊虫群体的键。零充气的负二项型模型用于测试温度与感染率之间的关系。还使用了一种用于感染率预测的复杂模型。将滞后0和10天计算联动,前面(LAG 1),前面20天(LAG 2),以及前面30天(LAG 3)。在LAG,LAG 2和LAG 3的温度和蚊子群体尺寸之间检测到显着的阳性连接(P <0.001)。温度和感染率之间的连杆对LAG 2和LAG 3的阳性且显着。负显着显着(P <在滞后1,2和3的沉淀和感染率之间检测到0.001)结果表明,复杂的模型表明,感染率的最佳预测因子是温度,早期20天(阳性连杆)和沉淀,早先30天(负连锁)。春季和夏季的阳性温度异常以及降雨降低促成了Culex SPP的增加。在接下来的几周内,丰富并加速了蚊子载体群体的WNV扩增。

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