Abstract

This is the first of a number of planned data papers presenting modelled vector distributions, the models in this paper were produced during the ECDC funded VBORNET project. This work continues under the VectorNet project now jointly funded by ECDC and EFSA. This data paper contains the sand fly model outputs produced as part of the VBORNET project. Further data papers will be published after sampling seasons when more field data will become available allowing further species to be modelled or validation and updates to existing models. The data package described here includes those sand fly species first modelled in 2013 and 2014 as part of the VBORNET gap analysis work which aimed to identify areas of potential species distribution in areas lacking records. It comprises four species models together with suitability masks based on land class and environmental limits. The species included within this paper are Phlebotomus ariasi, Phlebotomus papatasi, Phlebotomus perniciosus and Phlebotomus tobbi. The known distributions of these species within the project area (Europe, the Mediterranean Basin, North Africa, and Eurasia) are currently incomplete to a greater or lesser degree. The models are designed to fill the gaps with predicted distributions, to provide a) assistance in targeting surveys to collect ­distribution data for those areas with no field validated information, and b) a first indication of project wide distributions.

Highlights

  • This is the second of a number of planned data papers presenting modelled vector distributions produced originally during the European Centre for Disease prevention and Control (ECDC) funded VBORNET project

  • Corresponding author: Neil Stewart Alexander. This is the second of a number of planned data papers presenting modelled vector distributions produced originally during the ECDC funded VBORNET project

  • The species included as part of this phase are the mosquitoes Aedes vexans, Anopheles plumbeus and Culex modestus

Read more

Summary

Overview

VBORNET [1] was an initiative of the European Centre for Disease Prevention and Control (ECDC), which ran from to 2014. As part of this work a database c­ollating validated records of key vector species distributions was commissioned. The ‘Gap Analysis’ work within these projects aims to identify those areas of likely species distribution within the project extent where there are no current data. These estimates produced by spatial modelling techniques are intended to meet two o. Probability of presence maps at the resolution of 1 km were generated using a variety of well-established spatial modelling techniques available through the VECMAP system [3]. Definitions of land class suitability for each species as defined by experts can be found in Tables 1 and 2

Methods
Dataset description
Reuse potential
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call