Author

R. K. Plowright

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

Biology Disciplines

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Ecology· 6 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 4 Research Focus:ecology & biodiversity· 3 Organism:multiple species· 3 Approach:statistical model· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Organism:mouse· 2 Approach:Bayesian inference· 1

Frequent Co-Authors

A. J. Peel· 3 shared M. Ruiz-Aravena· 3 shared A. Hoegh· 2 shared A. Islam· 2 shared B. Borremans· 2 shared C. A. Falvo· 2 shared C. D. McKee· 2 shared D. Crowley· 2 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersEcology

A. J. Peel

Mutual co-authors in cluster

Author profile →

7 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

Nipah virus detection at bat roosts following spillover events in Bangladesh, 2012-2019

C. D. McKee, A. Islam, M. Z. Rahman, S. U. Khan, M. Rahman, S. M. Satter, A. Islam, C. K. Yinda, J. H. Epstein, P. Daszak, V. J. Munster, P. J. Hudson, R. K. Plowright, S. P. Luby, E. S. Gurley

The paper investigates Nipah virus shedding in bat roosts near human cases in Bangladesh, finding that viral RNA can be detected up to 52 days post-exposure, supporting targeted sampling for better viral ecology understanding.

bioRxiv · Dec 29, 2021 · PreprintEcology

The ecology of Nipah virus in Bangladesh: a nexus of land use change and opportunistic feeding behavior in bats

C. D. McKee, A. Islam, S. P. Luby, H. Salje, P. J. Hudson, R. K. Plowright, E. S. Gurley

The paper examines factors driving Nipah virus spillover in Bangladesh, finding winter temperature explains 53% of annual spillover variation and linking land use changes to bat behavior and viral transmission risk.

bioRxiv · Nov 30, 2020Ecology

Incorporating evaporative water loss into bioenergetic models of hibernation to test for relative influence of host and pathogen traits on white-nose syndrome

C. Haase, N. Fuller, C. R. Hranac, D. T. S. Hayman, L. P. McGuire, K. J. O. Norquay, K. A. Silas, C. K. R. Willis, R. K. Plowright, S. H. Olson

This study integrates evaporative water loss into a hibernation model to assess how host and pathogen traits influence survival in white-nose syndrome.

bioRxiv · Aug 28, 2019Physiology

Phylofactorization - a graph partitioning algorithm to identify phylogenetic scales of ecological data

A. D. Washburne, J. D. Silverman, J. T. Morton, D. Becker, D. Crowley, S. Mukherjee, L. A. David, R. K. Plowright

This paper introduces Phylofactorization, a graph-partitioning algorithm to identify phylogenetic scales in ecological data, and demonstrates its application to mammalian body mass and gut microbiome studies.

bioRxiv · Jan 3, 2018Ecology