GeoVet 2023 International Conference
P10.5 Spatial modelling of Aedes caspius (Pallas 1771) and Aedes vexans (Meigen 1830) distribution in the Po Plain (Northern Italy)

Keywords

Aedes caspius
Aedes vexans
Geostatistics
Kriging
Machine Learning
surveillance

Category

Abstract

In this work, we analyse the abundance data collected in the frame of West Nile Virus (WNV) surveillance in northern Italy (Po Plain) by 292 CO2-baited traps to evaluate the distribution and density of two non-target mosquito: Aedes caspius (Pallas 1771) and Aedes vexans (Meigen 1830). We applied two different approaches of spatial analysis (geostatistical and machine learning) which gave congruous results. Both species are more abundant in the middle of Po plain, near Po River, but distribution was different. Ae. caspius was more abundant in the east and west areas, Ae. vexans in the middle area of Po plain. This work demonstrated the importance to maintain and improve entomological surveillance of WNV, with an adequate sampling effort.