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Disclaimer: Early release articles are not considered as final versions. Any changes will be reflected in the online version in the month the article is officially released.

Volume 32, Number 7—July 2026

Research

Predictive Approach to Mapping Angiostrongylus cantonensis Nematode Distribution, Canary Islands, Spain

Lucia AnettováComments to Author , Jan Divíšek, Radovan Coufal, Anna Šipková, Jana Kačmaříková, Michal Horsák, Vojtech Baláž, Elena Izquierdo-Rodriguez, Barbora Červená, Pilar Foronda, and David Modrý
Author affiliation: Czech University of Life Sciences, Prague, Czech Republic (L. Anettová, D. Modrý); Masaryk University, Brno, Czech Republic (J. Divíšek, R. Coufal, A. Šipková, M. Horsák, D. Modrý); University of Veterinary Sciences, Brno (J. Kačmaříková, V. Baláž, B. Červená); University of La Laguna, Tenerife, Spain (E. Izquierdo-Rodriguez, P. Foronda); Czech Academy of Sciences, Brno (B. Červená); Czech Academy of Sciences, České Budějovice, Czech Republic (D. Modrý)

Main Article

Table 2

Relative influence of environmental variables in boosted regression tree model used in a predictive approach to mapping Angiostrongylus cantonensis nematode distribution, Canary Islands, Spain*

Variable % Relative influence
Tree cover density 30.95
Precipitation seasonality 22.19
Temperature seasonality 17.03
Mean NDVI (SD) 12.74 (6.88)
Mean annual temperature 5.83
Terrain ruggedness index 3.21
Annual precipitation 0.79
Topographic wetness index 0.36

*Model used local prevalence of A. cantonensis nematode detection among multiple host groups across Tenerife on the basis of 2022 field surveillance data. NDVI, normalized difference vegetation index.

Main Article

Page created: May 28, 2026
Page updated: June 17, 2026
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