Alison J. Peel

The paper develops a framework to quantify scavenger-carcass activity using camera-trap data at mass mortality events, finding that mass mortality plots have longer visitation durations and higher contact probabilities than single carcasses.

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 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.

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.

A novel Hendra virus variant was identified in Australian horses, showing 83% nucleotide identity to the prototype strain and suggesting potential effectiveness of existing antibodies and vaccines.

This study evaluates under-roost sampling methods for estimating viral prevalence in bat populations and recommends a stratified random design to minimize bias.