1. Identification, Distribution, and Habitat Suitability Models of Ixodid Tick Species in Cattle in Eastern Bhutan
- Author
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Timothy J. Lysyk, Sylvia Checkley, Ratna B. Gurung, Susan C. Cork, Jamyang Namgyal, Isabelle Couloigner, Sithar Dorjee, and Tenzin Tenzin
- Subjects
0301 basic medicine ,Tick infestation ,Veterinary medicine ,habitat suitability ,030231 tropical medicine ,lcsh:Medicine ,Rhipicephalus haemaphysaloides ,Haemaphysalis bispinosa ,Biology ,Tick ,medicine.disease_cause ,tick distribution ,Article ,03 medical and health sciences ,0302 clinical medicine ,Infestation ,parasitic diseases ,medicine ,Bhutan ,General Immunology and Microbiology ,Haemaphysalis spinigera ,MaxEnt model ,lcsh:R ,Public Health, Environmental and Occupational Health ,Amblyomma testudinarium ,030108 mycology & parasitology ,medicine.disease ,biology.organism_classification ,Infectious Diseases ,Rhipicephalus microplus - 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.
- Published
- 2021