Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes Albopictus in Switzerland

Damiana Ravasi
* ORCID logo ,
Francesca Mangili
,
David Huber
,
Laura Azzimonti
,
Lukas Engeler
,
Nicola Vermes
,
Giacomo Del Rio
,
Valeria Guidi
,
Mauro Tonolla
,
Eleonora Flacio
Version 1 : Received: 1 February 2022 / Approved: 2 February 2022 / Online: 2 February 2022 (13:18:11 CET)

A peer-reviewed article of this Preprint also exists.

Ravasi, D.; Mangili, F.; Huber, D.; Azzimonti, L.; Engeler, L.; Vermes, N.; Del Rio, G.; Guidi, V.; Tonolla, M.; Flacio, E. Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes albopictus in Switzerland. Int. J. Environ. Res. Public Health 2022, 19, 3220. Ravasi, D.; Mangili, F.; Huber, D.; Azzimonti, L.; Engeler, L.; Vermes, N.; Del Rio, G.; Guidi, V.; Tonolla, M.; Flacio, E. Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes albopictus in Switzerland. Int. J. Environ. Res. Public Health 2022, 19, 3220.

Abstract

Background: In Switzerland, Aedes albopictus is well established in Ticino, south of the Alps, where surveillance and control are implemented. The mosquito has also been observed in Swiss cities north of the Alps. Decision-making tools are urgently needed by the local authorities in order to optimize surveillance and control. Methods: A regularized logistic regression was used to link the long-term dataset of Ae. albopictus occurrence in Ticino with socio-environmental predictors. The probability of establishment of Ae. albopictus was extrapolated to Switzerland and more finely to the cities of Basel and Zurich. Results: The model performed well, with an AUC of 0.86. Ten so-cio-environmental predictors were selected as informative, including the road-based distance in minutes of travel by car from the nearest cell established in the previous year. The risk maps showed high suitability for Ae. albopictus establishment in the Central Plateau, the area of Basel and the lower Rhone Valley in the Canton of Valais. Conclusions: The areas identified as suitable for Ae. albopictus establishment are consistent with the actual current findings of tiger mosquito. Our approach provides a useful tool to prompt authorities’ intervention in the areas where there is higher risk of introduction and establishment of Ae. albopictus.

Keywords

Aedes albopictus; ovitrap; regularized logistic regression; ecological niche model; environmental factors; surveillance

Subject

Biology and Life Sciences, Insect Science

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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