Manuel Ruiz‐Aravena

The paper uses explainable AI to predict food shortages in Eastern Australian flying foxes, identifying environmental and bat-level features that predict nutritional stress with high accuracy.

The paper rebuts a critique by showing that re-analyzed data supports the original findings that the transmissible cancer in Tasmanian devils has transitioned to endemism.

The paper investigates Borrelia infections in black flying foxes, finding two novel haplotypes distinct from known zoonotic clades.

The paper develops a multi-scale statistical model to predict Hendra virus shedding in black flying foxes by integrating environmental and host condition factors across spatial and temporal scales.

The study shows diet affects viral shedding in Jamaican fruit bats, with suboptimal-sugar diets leading to higher viral RNA shedding than suboptimal-fat diets.

This paper introduces a Bayesian multilevel model to estimate prevalence dynamics from pooled and individual wildlife samples, accounting for dilution effects and false negatives.

The paper shows that periodic increases in viral load during high prevalence periods in bats correlate with spillover events, suggesting viral load is a better predictor of transmission risk than prevalence alone.