Nielsen Carrie F, Armijos M Veronica, Wheeler Sarah, Carpenter Tim E, Boyce Walter M, Kelley Kara, Brown David, Scott Thomas W, Reisen William K
Graduate Group in Epidemiology, Center for Vectorborne Diseases, Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA.
Am J Trop Med Hyg. 2008 Jan;78(1):53-62.
We collected a total of 15,329 mosquitoes during weekly sampling in Davis, CA, from April through mid-October 2006 at 21 trap sites uniformly spaced 1.5 km apart over an area of approximately 26 km(2). Of these mosquitoes, 1,355 pools of Culex spp. were tested by multiplex reverse transcriptase-polymerase chain reaction, of which 16 pools (1.2%) were positive for West Nile virus (WNV). A degree-day model with a developmental threshold of 14.3 degrees C accurately predicted episodic WNV transmission after three extrinsic incubation periods after initial detection. Kriging interpolation delineated that Culex tarsalis were most abundant at traps near surrounding agriculture, whereas Cx. pipiens clustered within residential areas and greenbelt systems in the old portion of Davis. Spatial-temporal analyses were performed to test for clustering of locations of WNV-infected dead birds and traps with WNV-positive Cx. tarsalis and Cx. pipiens; human case incidence was mapped by census blocks. Significant multivariate spatial-temporal clustering was detected among WNV-infected dead birds and WNV-positive Cx. tarsalis, and a WNV-positive Cx. pipiens cluster overlapped areas with high incidences of confirmed human cases. Spatial analyses of WNV surveillance data may be an effective method to identify areas with an increased risk for human infection and to target control efforts to reduce the incidence of human disease.
2006年4月至10月中旬,我们在加利福尼亚州戴维斯市每周进行采样,在约26平方千米的区域内,于21个间距均为1.5千米的诱捕点共采集了15329只蚊子。在这些蚊子中,1355组库蚊属样本通过多重逆转录聚合酶链反应进行检测,其中16组(1.2%)西尼罗河病毒(WNV)呈阳性。一个发育阈值为14.3摄氏度的度日模型在首次检测后的三个外在潜伏期后准确预测了WNV的阶段性传播。克里金插值法描绘出,跗斑库蚊在周边农业区附近的诱捕点最为丰富,而致倦库蚊则聚集在戴维斯市旧区的居民区和绿化带系统内。进行了时空分析,以检测WNV感染死鸟的地点以及WNV阳性的跗斑库蚊和致倦库蚊诱捕点的聚集情况;按普查街区绘制了人类病例发病率图。在WNV感染死鸟和WNV阳性的跗斑库蚊之间检测到显著的多变量时空聚集,并且一个WNV阳性的致倦库蚊聚集区与确诊人类病例高发病率区域重叠。对WNV监测数据进行空间分析可能是一种有效的方法,用于识别人类感染风险增加的区域,并将控制工作目标对准这些区域,以降低人类疾病的发病率。