Mwangangi Joseph M, Mbogo Charles M, Muturi Ephantus J, Nzovu Joseph G, Githure John I, Yan Guiyun, Minakawa Noboru, Novak Robert, Beier John C
Kenya Medical Research Institute, Centre for Geographic Medicine Research, Kilifi, Kenya.
J Vector Borne Dis. 2007 Mar;44(1):44-51.
BACKGROUND & OBJECTIVES: A study was conducted to characterise larval habitats and to determine spatial heterogeneity of the Anopheles mosquito larvae. The study was conducted from May to June 1999 in nine villages along the Kenyan coast.
Aquatic habitats were sampled by use of standard dipping technique. The habitats were characterised based on size, pH, distance to the nearest house, coverage of canopy, surface debris, algae and emergent plants, turbidity, substrate, and habitat type.
A total of 110 aquatic habitats like stream pools (n=10); puddles (n=65); tire tracks (n=5); ponds (n=5) and swamps (n=25) were sampled in nine villages located in three districts of the Kenyan coast. A total of 7,263 Anopheles mosquito larvae were collected, 63.9% were early instars and 36.1% were late instars. Morphological identification of the III and IV instar larvae by use of microscopy yielded 90.66% (n=2377) Anopheles gambiae Complex, 0.88% (n=23) An. funestus, An. coustani 7.63% (n=200), An. rivulorum 0.42% (n=11), An. pharoensis 0.19% (n=5), An. swahilicus 0.08% (n=2), An. wilsoni 0.04% (n=1) and 0.11% (n=3) were unidentified. A subset of the An. gambiae Complex larvae identified morphologically, was further analysed using rDNA-PCR technique resulting in 68.22% (n=1290) An. gambiae s.s., 7.93% (n=150) An. arabiensis and 23.85% (n=451) An. merus. Multiple logistic regression model showed that emergent plants (p = 0.019), and floating debris (p = 0.038) were the best predictors of An. gambiae larval abundance in these habitats.
INTERPRETATION & CONCLUSION: Habitat type, floating debris and emergent plants were found to be the key factors determining the presence of Anopheles larvae in the habitats. For effective larval control, the type of habitat should be considered and most productive habitat type be given a priority in the mosquito abatement programme.
开展了一项研究,以描述幼虫栖息地特征并确定按蚊幼虫的空间异质性。该研究于1999年5月至6月在肯尼亚海岸沿线的9个村庄进行。
采用标准浸渍技术对水生栖息地进行采样。根据大小、pH值、距最近房屋的距离、树冠覆盖度、表面碎屑、藻类和挺水植物、浊度、基质以及栖息地类型对栖息地进行特征描述。
在肯尼亚海岸三个区的9个村庄共采样了110个水生栖息地,如溪流池(n = 10);水坑(n = 65);轮胎痕迹(n = 5);池塘(n = 5)和沼泽(n = 25)。共收集到7263只按蚊幼虫,其中63.9%为低龄幼虫,36.1%为高龄幼虫。通过显微镜对Ⅲ龄和Ⅳ龄幼虫进行形态学鉴定,结果显示冈比亚按蚊复合体占90.66%(n = 2377),嗜人按蚊占0.88%(n = 23),库斯塔尼按蚊占7.63%(n = 200),溪流按蚊占0.42%(n = 11),法老按蚊占0.19%(n = 5),斯瓦希里按蚊占0.08%(n = 2),威尔逊按蚊占0.04%(n = 1),未鉴定的占0.11%(n = 3)。对形态学鉴定出的冈比亚按蚊复合体幼虫的一个子集,进一步采用rDNA - PCR技术分析,结果显示冈比亚按蚊指名亚种占68.22%(n = 1290),阿拉伯按蚊占7.93%(n = 150),梅氏按蚊占23.85%(n = 451)。多元逻辑回归模型显示,挺水植物(p = 0.019)和漂浮碎屑(p = 0.038)是这些栖息地中冈比亚按蚊幼虫丰度的最佳预测指标。
发现栖息地类型、漂浮碎屑和挺水植物是决定栖息地中按蚊幼虫存在的关键因素。为有效控制幼虫,应考虑栖息地类型,并在灭蚊计划中优先处理最具生产力的栖息地类型。