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• W2222907935 abstract "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." @default.
• W2222907935 created "2016-06-24" @default.
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• W2222907935 date "2016-02-09" @default.
• W2222907935 modified "2023-10-17" @default.
• W2222907935 title "Species Distribution Modelling of<i>Aedes aegypti</i>in two dengue-endemic regions of Pakistan" @default.
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• W2222907935 doi "https://doi.org/10.1111/tmi.12664" @default.
• W2222907935 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26729239" @default.
• W2222907935 hasPublicationYear "2016" @default.
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