High-resolution prediction models for Rhipicephalus microplus and Amblyomma cajennense s.l. ticks affecting cattle and their spatial distribution in continental Ecuador using bioclimatic factors.

For this study, bioclimatic variables like Bio1, Bio2, Bio3, Bio4, Bio12, Bio13, Bio14, Bio18, VP_min, and VP_max were highly significant in the GLM, with Bio1, Bio12, Bio14 and VPD variables having the highest (above 1) and lowest (below 1) odds ratio.

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