Author

A. J. Peel

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Ecology· 4

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:host-pathogen & immune response· 3 Research Focus:ecology & biodiversity· 2 Organism:multiple species· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:chicken / avian· 1 Approach:deep learning· 1

Frequent Co-Authors

M. Ruiz-Aravena· 3 shared R. K. Plowright· 3 shared A. Hoegh· 2 shared B. Borremans· 2 shared C. A. Falvo· 2 shared H. McCallum· 2 shared J. O. Lloyd-Smith· 2 shared O. Restif· 2 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersEcology

M. Ruiz-Aravena

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Environmental and ecological signals predict periods of nutritional stress for Eastern Australian flying fox populations.

J. Lagergren, M. Ruiz-Aravena, D. J. Becker, W. Madden, L. Ruytenberg, A. Hoegh, B. Han, A. J. Peel, P. Eby, D. Jacobson, R. K. Plowright

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.

bioRxiv · Dec 1, 2023 · PreprintEcology

Reconstructing prevalence dynamics of wildlife pathogens from pooled and individual samples

B. Borremans, C. A. Falvo, D. E. Crowley, A. Hoegh, J. O. Lloyd-Smith, A. J. Peel, O. Restif, M. Ruiz-Aravena, R. K. Plowright

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

bioRxiv · Nov 2, 2023Ecology

Periodic shifts in viral load increase risk of spillover from bats

T. J. Lunn, B. Borremans, D. N. Jones, M. K. Kessler, A. S. Dale, K. C. Yinda, M. Ruiz-Aravena, C. A. Falvo, D. Crowley, J. O. Lloyd-Smith, V. J. Munster, P. Eby, H. McCallum, P. Hudson, O. Restif, , A. J. Peel

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.

bioRxiv · Sep 6, 2023 · PreprintEcology

Interpreting mosquito feeding patterns in Australia through an ecological lens; an analysis of blood meal studies.

E. B. Stephenson, A. Murphy, C. C. Jansen, A. J. Peel, H. McCallum

This study analyzes mosquito feeding patterns in Australia using blood meal data to identify species-specific feeding associations and their implications for disease ecology.

bioRxiv · Dec 10, 2018Ecology