Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling

  • Manuela Signorini Department of Animal Medicine, Production and Health, University of Padua, Legnaro (PD), Italy.
  • Anna-Sofie Stensgaard Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
  • Michele Drigo Department of Animal Medicine, Production and Health, University of Padua, Legnaro (PD), Italy.
  • Giulia Simonato Department of Animal Medicine, Production and Health, University of Padua, Legnaro (PD), Italy.
  • Federica Marcer Department of Animal Medicine, Production and Health, University of Padua, Legnaro (PD), Italy.
  • Fabrizio Montarsi Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy.
  • Marco Martini Department of Animal Medicine, Production and Health, University of Padua, Legnaro (PD), Italy.
  • Rudi Cassini | rudi.cassini@unipd.it Department of Animal Medicine, Production and Health, University of Padua, Legnaro (PD), Italy. http://orcid.org/0000-0001-5529-2854

Abstract

Various ticks exist in the temperate hilly and pre-alpine areas of Northern Italy, where Ixodes ricinus is the more important. In this area different tick-borne pathogen monitoring projects have recently been implemented; we present here the results of a twoyear field survey of ticks and associated pathogens, conducted 2009-2010 in North-eastern Italy. The cost-effectiveness of different sampling strategies, hypothesized a posteriori based on two sub-sets of data, were compared and analysed. The same two subsets were also used to develop models of habitat suitability, using a maximum entropy algorithm based on remotely sensed data. Comparison of the two strategies (in terms of number of ticks collected, rates of pathogen detection and model accuracy) indicated that monitoring at many temporary sites was more cost-effective than monthly samplings at a few permanent sites. The two model predictions were similar and provided a greater understanding of ecological requirements of I. ricinus in the study area. Dense vegetation cover, as measured by the normalized difference vegetation index, was identified as a good predictor of tick presence, whereas high summer temperatures appeared to be a limiting factor. The study suggests that it is possible to obtain realistic results (in terms of pathogens detection and development of habitat suitability maps) with a relatively limited sampling effort and a wellplanned monitoring strategy.

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Published
2019-05-13
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Original Articles
Keywords:
Ixodes ricinus, Italy, Species distribution models, Remote sensing, Ticks
Statistics
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How to Cite
Signorini, M., Stensgaard, A.-S., Drigo, M., Simonato, G., Marcer, F., Montarsi, F., Martini, M., & Cassini, R. (2019). Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling. Geospatial Health, 14(1). https://doi.org/10.4081/gh.2019.745

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