Peggy Eby

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 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 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.