Abrar Hussain

The paper uses Bayesian hierarchical spatial models to predict the relative abundance of three tick species in Illinois based on environmental and spatial data.

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.

This study assesses knowledge, attitudes, and practices of para-veterinary workers in Pakistan regarding ticks and tick-borne diseases, finding that workshop attendance correlates with higher awareness and better practices.