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Conclusions Our findings provide useful information for surveillance Freee aiming to identify locations where the potential for WNV. By applying spatial statistical analysis spatial point pattern analysis and models Bayesian GLMM models to a longitudinal dataset on the abundance of the three putative WNV vectors [Ochlerotatus caspius PallasCulex pipiens Linnaeus and Culex modestus Ficalbi ] in eastern Piedmont, we quantified their abundance and distribution in space and time and generated prediction maps outlining the areas with the highest vector productivity and potential for WNV introduction and amplification.

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