Landscape movements of Anopheles gambiae malaria vector mosquitoes in rural Gambia.
Landscape movements of Anopheles gambiae malaria vector mosquitoes in rural Gambia.
复制标题
DOI：
10.1371/journal.pone.0068679
复制
发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Bøgh C
中科院分区：
文献类型：
--
作者：
Thomas CJ;Cross DE;Bøgh C
对于非洲的疟疾控制，至关重要的是监测其最有效的媒介冈比亚按蚊的传播，以便有针对性地采取干预措施，并评估其空间影响。我们的研究是，我们相信，第一次提出一个统计模型的传播概率对距离从繁殖栖息地到人类住区的这一重要的疾病载体。我们进行了事后分析，在冈比亚的蚊子捕获量，以获得一个统计扩散功能。gambiae sensu lato采集自48个村庄，这些村庄与冈比亚河沿着冲积幼虫栖息地距离不同。随着距离的增加，扩散的比例呈指数下降，我们估计90%的迁移都在1.7公里以内。虽然“重尾”分布被认为是生物学上更合理的，由于积极传播的蚊子寻求血餐，没有统计学基础，选择它的负指数分布。使用一个简单的随机游走模型，每天的生存和运动先前记录在布基纳法索，我们能够重现在冈比亚观察到的扩散概率。我们的研究结果提供了一个重要的量化的概率。冈比亚公司分散在非洲大陆许多地区典型的农村环境中。然而，传播将景观的具体，为了推广到其他空间配置的栖息地和主机，这将是必要的，以产生易于处理的模型，蚊子的运动业务使用。我们表明，简单的随机游走模型有潜力。因此，有一个迫切需要新的实证研究安。冈比亚在不同环境中的生存和运动，以推动这一发展。
For malaria control in Africa it is crucial to characterise the dispersal of its most efficient vector, Anopheles gambiae, in order to target interventions and assess their impact spatially. Our study is, we believe, the first to present a statistical model of dispersal probability against distance from breeding habitat to human settlements for this important disease vector. We undertook post-hoc analyses of mosquito catches made in The Gambia to derive statistical dispersal functions for An. gambiae sensu lato collected in 48 villages at varying distances to alluvial larval habitat along the River Gambia. The proportion dispersing declined exponentially with distance, and we estimated that 90% of movements were within 1.7 km. Although a ‘heavy-tailed’ distribution is considered biologically more plausible due to active dispersal by mosquitoes seeking blood meals, there was no statistical basis for choosing it over a negative exponential distribution. Using a simple random walk model with daily survival and movements previously recorded in Burkina Faso, we were able to reproduce the dispersal probabilities observed in The Gambia. Our results provide an important quantification of the probability of An. gambiae s.l. dispersal in a rural African setting typical of many parts of the continent. However, dispersal will be landscape specific and in order to generalise to other spatial configurations of habitat and hosts it will be necessary to produce tractable models of mosquito movements for operational use. We show that simple random walk models have potential. Consequently, there is a pressing need for new empirical studies of An. gambiae survival and movements in different settings to drive this development.