Bayesian spatial prediction of livestock tick abundance to support surveillance in data-sparse regions
Abrar Hussain, Sabir Hussain, Lelys Bravo de Guenni, R Kevin Smith
The paper develops a Bayesian spatial model to predict tick abundance in livestock systems using heterogeneous surveillance data, showing improved model fit and identifying areas needing more data collection.
bioRxiv · Sep 14, 2026 · PreprintEcology