Fatima Syeda Hira, Atif Salman, Rasheed Syed Basit, Zaidi Farrah, Hussain Ejaz
Department of Space Science, Institute of Space Technology, Islamabad, Pakistan.
Institute of Geographical Information System, National University of Sciences and Technology, Karachi, Pakistan.
Trop Med Int Health. 2016 Mar;21(3):427-36. doi: 10.1111/tmi.12664. Epub 2016 Feb 9.
Statistical tools are effectively used to determine the distribution of mosquitoes and to make ecological inferences about the vector-borne disease dynamics. In this study, we utilised species distribution models to understand spatial patterns of Aedes aegypti in two dengue-prevalent regions of Pakistan, Lahore and Swat. Species distribution models can potentially indicate the probability of suitability of Ae. aegypti once introduced to new regions like Swat, where invasion of this species is a recent phenomenon.
The distribution of Ae. aegypti was determined by applying the MaxEnt algorithm on a set of potential environmental factors and species sample records. The ecological dependency of species on each environmental variable was analysed using response curves. We quantified the statistical performance of the models based on accuracy assessment and spatial predictions.
Our results suggest that Ae. aegypti is widely distributed in Lahore. Human population density and urban infrastructure are primarily responsible for greater probability of mosquito occurrence in this region. In Swat, Ae. aegypti has clumped distribution, where urban patches provide refuge to the species in an otherwise hostile heterogeneous environment and road networks are assumed to have facilitated in passive-mediated dispersal of species.
In Pakistan, Ae. aegypti is expanding its range northwards; this could be associated with rapid urbanisation, trade and travel. The main implication of this expansion is that more people are at risk of dengue fever in the northern highlands of Pakistan.
统计工具被有效地用于确定蚊子的分布,并对媒介传播疾病的动态进行生态推断。在本研究中,我们利用物种分布模型来了解埃及伊蚊在巴基斯坦两个登革热流行地区——拉合尔和斯瓦特的空间分布模式。物种分布模型有可能表明埃及伊蚊一旦被引入像斯瓦特这样的新地区(该物种在那里的入侵是最近才出现的现象)后的适宜生存概率。
通过对一组潜在环境因素和物种样本记录应用最大熵算法来确定埃及伊蚊的分布。使用响应曲线分析物种对每个环境变量的生态依赖性。我们基于准确性评估和空间预测对模型的统计性能进行了量化。
我们的结果表明,埃及伊蚊在拉合尔广泛分布。人口密度和城市基础设施是该地区蚊子出现概率较高的主要原因。在斯瓦特,埃及伊蚊呈聚集分布,城市区域在原本不利的异质环境中为该物种提供了庇护所,并且道路网络被认为促进了该物种的被动介导扩散。
在巴基斯坦,埃及伊蚊的分布范围正在向北扩展;这可能与快速城市化、贸易和旅行有关。这种扩展的主要影响是巴基斯坦北部高地有更多人面临登革热风险。