Author

O. Restif

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· 2 Microbiology· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:host-pathogen & immune response· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Organism:chicken / avian· 1 Approach:experimental assay· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

A. J. Peel· 2 shared B. Borremans· 2 shared C. A. Falvo· 2 shared J. O. Lloyd-Smith· 2 shared M. Ruiz-Aravena· 2 shared P. Mastroeni· 2 shared R. Dybowski· 2 shared R. K. Plowright· 2 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersEcology

A. J. Peel

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Author profile →

4 papers

Recent·Most cited

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

An Efficient Moments-Based Inference Method for Within-Host Bacterial Infection Dynamics

D. Price, A. Breuze, R. Dybowski, P. Mastroeni, O. Restif

This paper introduces an efficient moments-based method for inferring parameters of stochastic models of within-host bacterial infection dynamics, showing improved goodness-of-fit compared to maximum likelihood estimation.

bioRxiv · Aug 4, 2017Microbiology

Inferring Within-Host Bottleneck Size: A Bayesian Approach

R. Dybowski, O. Restif, D. J. Price, P. Mastroeni

The paper compares Bayesian methods for estimating within-host bacterial bottleneck size using different data scenarios and introduces a sampling approach.

bioRxiv · Mar 13, 2017Microbiology