Author

S. Carver

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· 5 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 5 Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Approach:machine learning (classical)· 2 Organism:multiple species· 2 Organism:non-human primate· 2 Organism:Arabidopsis· 1 Assay:DNA methylation· 1

Frequent Co-Authors

M. E. Craft· 3 shared N. M. Fountain-Jones· 3 shared K. VanderWaal· 2 shared S. Kraberger· 2 shared S. VandeWoude· 2 shared W. C. Funk· 2 shared A. B. Lyons· 1 shared A. Flies· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersEcology

M. E. Craft

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

The spectral underpinnings of pathogen spread on animal networks

N. M. Fountain-Jones, M. Silk, R. Appaw, R. Hamede, J. Rushmore, K. VanderWaal, M. E. M. Craft, S. Carver, M. Charleston

The paper uses spectral graph theory and machine learning to predict pathogen spread in animal networks and shows spectral features can predict vulnerability to infection.

bioRxiv · Jul 28, 2022 · PreprintEcology

Characterising the spatio-temporal threats, conservation hotspots, and conservation gaps for the most extinction-prone bird family (Aves: Rallidae)

L. Leveque, J. C. Buettel, S. Carver, B. W. Brook

This study identifies spatio-temporal threats and conservation gaps for the extinction-prone rail family, highlighting priority regions and threat pathways.

bioRxiv · Jan 20, 2021Ecology

Transmission of one predicts another: Apathogenic proxies for transmission dynamics of a fatal virus

M. L. J. Gilbertson, N. M. Fountain-Jones, J. L. Malmberg, R. B. Gagne, J. S. Lee, S. Kraberger, S. Kechejian, R. Petch, E. Chiu, D. Onorato, M. W. Cunningham, K. R. Crooks, W. C. Funk, S. Carver, S. VandeWoude, , M. E. Craft

The paper uses apathogenic FIV transmission data to predict pathogenic FeLV transmission dynamics in Florida panthers, showing comparable accuracy to traditional methods.

bioRxiv · Jan 9, 2021 · PreprintEcology

Post release immune responses of Tasmanian devils vaccinated with an experimental devil facial tumour disease vaccine

R. Pye, J. Darby, A. Flies, S. Fox, S. Carver, J. Elmer, K. Swift, C. Hogg, D. Pemberton, G. Woods, A. B. Lyons

This study evaluates the immune response of Tasmanian devils vaccinated against DFTD, finding persistent antibodies and immune cell infiltration in tumors, but no complete protection against DFTD development.

bioRxiv · Dec 6, 2020Immunology

Host relatedness and landscape connectivity shape pathogen spread in a large secretive carnivore

N. M. Fountain-Jones, S. Kraberger, R. Gagne, D. R. Trumbo, P. Salerno, W. C. Funk, K. Crooks, R. Biek, M. Alldredge, K. Logan, G. Baele, S. M. Dellicour, H. B. Ernest, S. VandeWoude, S. Carver, M. E. Craft

The paper examines how urbanization affects pathogen spread in pumas by analyzing landscape variables and host gene flow in two contrasting regions.

bioRxiv · Oct 23, 2019Ecology

How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure

N. Fountain-Jones, G. Machado, S. Carver, C. Packer, M. Mendoza, M. E. Craft

This paper develops a machine learning framework to predict pathogen exposure in wild lions using ecological data, finding non-linear patterns and variable interactions that improve predictive performance.

bioRxiv · Mar 6, 2019Ecology