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      Identification, Distribution, and Habitat Suitability Models of Ixodid Tick Species in Cattle in Eastern Bhutan

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          Abstract

          Tick infestation is the most reported parasitological problem in cattle in Bhutan. In May and June 2019, we collected ticks from 240 cattle in two districts of Eastern Bhutan. Tick presence, diversity, and infestation prevalence were examined by morphological identification of 3600 live adult ticks. The relationships between cattle, geographic factors, and infestation prevalence were assessed using logistic regression analyses. Habitat suitability for the tick species identified was determined using MaxEnt. Four genera and six species of ticks were found. These were Rhipicephalus microplus (Canestrini) (70.2% (95% confidence interval (CI): 68.7–71.7)), Rhipicephalus haemaphysaloides Supino (18.8% (95% CI: 17.5–20.1)), Haemaphysalis bispinosa Neumann (8.2% (95% CI: 7.3–9.1)), Haemaphysalis spinigera Neumann (2.5% (95% CI: 2–3)), Amblyomma testudinarium Koch (0.19% (95% CI: 0.07–0.4)), and a single unidentified Ixodes sp. Logistic regression indicated that the variables associated with infestation were: longitude and cattle age for R. microplus; latitude for R. haemaphysaloides; and altitude and cattle breed for H. bispinosa and H. spinigera. MaxEnt models showed land cover to be an important predictor for the occurrence of all tick species examined. These findings provide information that can be used to initiate and plan enhanced tick surveillance and subsequent prevention and control programs for ticks and tick-borne diseases in cattle in Bhutan.

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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Trop Med Infect Dis
                Trop Med Infect Dis
                tropicalmed
                Tropical Medicine and Infectious Disease
                MDPI
                2414-6366
                19 February 2021
                March 2021
                : 6
                : 1
                : 27
                Affiliations
                [1 ]District Veterinary Hospital, Department of Livestock, Ministry of Agriculture and Forests, Trashigang 42001, Bhutan
                [2 ]Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada; timlysyk@ 123456gmail.com (T.J.L.); icouloig@ 123456ucalgary.ca (I.C.); slcheckl@ 123456ucalgary.ca (S.C.); sccork@ 123456ucalgary.ca (S.C.C.)
                [3 ]Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada
                [4 ]National Centre for Animal Health, Department of Livestock, Ministry of Agriculture and Forests, Thimphu 11001, Bhutan; rgur1038@ 123456uni.sydney.edu.au (R.B.G.); tenzinvp@ 123456gmail.com (T.T.)
                [5 ]Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu 11001, Bhutan; s.dorjee@ 123456yahoo.co.nz
                Author notes
                [* ]Correspondence: drjamyang@ 123456gmail.com
                Author information
                https://orcid.org/0000-0003-4889-478X
                https://orcid.org/0000-0001-7591-0648
                https://orcid.org/0000-0002-1025-2717
                https://orcid.org/0000-0002-9118-2721
                https://orcid.org/0000-0002-4326-3623
                https://orcid.org/0000-0002-8200-3584
                Article
                tropicalmed-06-00027
                10.3390/tropicalmed6010027
                7931079
                8daa6d70-63e9-4a16-8a23-3acdacb50f26
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 January 2021
                : 15 February 2021
                Categories
                Article

                tick distribution,habitat suitability,maxent model,bhutan

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