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The Crimean-Congo haemorrhagic fever tick vector Hyalomma marginatum in south of France: Modelling its distribution and determination of factors influencing its establishment in a newly invaded area
  • +13
  • Madiou Thierno Bah,
  • Vladimir Grobois,
  • Frédéric Stachurski,
  • facundo munoz,
  • Maxime Duhayon,
  • Ignace rakotoarivony,
  • Anaïs Appelgren,
  • Clément Calloix,
  • Liz Noguera Zayas,
  • Théo Mouillaud,
  • Charlotte Andary,
  • Renaud Lancelot,
  • Karine Huber,
  • Claire Garros,
  • Agnes Leblond,
  • laurence vial
Madiou Thierno Bah
CIRAD Montpellier-Occitanie

Corresponding Author:thierno-madiou.bah@cirad.fr

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Vladimir Grobois
CIRAD Montpellier-Occitanie
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Frédéric Stachurski
CIRAD Montpellier-Occitanie
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facundo munoz
CIRAD Montpellier-Occitanie
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Maxime Duhayon
CIRAD Montpellier-Occitanie
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Ignace rakotoarivony
CIRAD Montpellier-Occitanie
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Anaïs Appelgren
Mas d’arboux 30440 Roquedur France
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Clément Calloix
CIRAD Montpellier-Occitanie
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Liz Noguera Zayas
Universitat Zurich
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Théo Mouillaud
CIRAD Montpellier-Occitanie
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Charlotte Andary
CIRAD Montpellier-Occitanie
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Renaud Lancelot
CIRAD Montpellier-Occitanie
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Karine Huber
Montpellier Universite d'Excellence
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Claire Garros
CIRAD Montpellier-Occitanie
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Agnes Leblond
VetAgro Sup
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laurence vial
CIRAD Montpellier-Occitanie
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Abstract

For the first time we built a correlative model for predicting the distribution of H. marginatum, one of the main vector of Crimean-Congo Haemorrhagic fever virus (CCHFV), at high resolution in a recently colonized area, namely south of France. Field tick collections were conducted on horses from 2016 to 2021 in 14 French southern departments, which resulted in a first map of H. marginatum on the national territory. Such updated presence/absence data, as well as the mean number of H. marginatum per examined animal (mean parasitic load) as a proxy of the tick abundance, were correlated to multiple parameters that described the climate and habitats characterizing each collection site, as well as movements of horses as a possible source of tick diffusion and new establishment. Our model highlighted the importance of warm temperatures all along the year, as well as dry conditions during summer and moderate annual humidity for the establishment of H. marginatum. A predominance of open natural habitats in the environment was also identified as a supporting factor, in opposition to artificial and humid habitats that were determined as unsuitable. Based on this model, we predicted the current suitable areas for the establishment of the tick H. marginatum in South of France, with a relatively good accuracy using internal and external validation methods. Concerning tick abundance, some correlative relationships were similar than in the occurrence model but the type of horse movements were also pointed out as an important factor explaining the mean parasitic load, leading to differential exposure to ticks. The limitations of estimating and modelling H. marginatum abundance in a correlative model are discussed.
19 Oct 2021Submitted to Transboundary and Emerging Diseases
20 Oct 2021Submission Checks Completed
20 Oct 2021Assigned to Editor
22 Oct 2021Reviewer(s) Assigned
07 Dec 2021Review(s) Completed, Editorial Evaluation Pending
21 Dec 2021Editorial Decision: Revise Major
23 Mar 20221st Revision Received
24 Mar 2022Submission Checks Completed
24 Mar 2022Assigned to Editor
24 Mar 2022Reviewer(s) Assigned
08 Apr 2022Review(s) Completed, Editorial Evaluation Pending
11 Apr 2022Editorial Decision: Revise Major
22 Apr 20222nd Revision Received
22 Apr 2022Submission Checks Completed
22 Apr 2022Assigned to Editor
22 Apr 2022Reviewer(s) Assigned
25 Apr 2022Review(s) Completed, Editorial Evaluation Pending
25 Apr 2022Editorial Decision: Revise Minor
25 Apr 20223rd Revision Received
26 Apr 2022Submission Checks Completed
26 Apr 2022Assigned to Editor
27 Apr 2022Review(s) Completed, Editorial Evaluation Pending
27 Apr 2022Editorial Decision: Accept
Sep 2022Published in Transboundary and Emerging Diseases volume 69 issue 5. 10.1111/tbed.14578