Author

M. S. C. Blagrove

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· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:host-pathogen & immune response· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:rat· 1 Approach:statistical model· 1

Frequent Co-Authors

M. Baylis· 2 shared M. Wardeh· 2 shared A. Kotsiri· 1 shared J. Pilgrim· 1 shared K. J. Sharkey· 1 shared M. Hui· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 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

2 shared papersEcology

M. Baylis

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

EcologybioRxivPreprintAug 13, 2022

Monkeypox virus shows potential to infect a diverse range of native animal species across Europe, indicating high risk of becoming endemic in the region

M. S. C. Blagrove, J. Pilgrim, A. Kotsiri…·M. Wardeh

The paper identifies potentially susceptible animal species to monkeypox virus in Europe and highlights high-risk hosts and geographic areas for spillback and endemicity.

DOI 10.1101/2022.08.13.503846

statistical modelhost-pathogen & immune response

𝕏 PostBluesky

EcologybioRxivJun 13, 2020

Divide and conquer: machine-learning integrates mammalian, viral, and network traits to predict unknown virus-mammal associations

M. Wardeh, M. S. C. Blagrove, K. J. Sharkey, M. Baylis

The paper predicts over 20,000 unknown virus-mammal associations using a machine-learning approach that integrates viral, mammalian, and network traits.

DOI 10.1038/s41467-021-24085-w

mousehuman

𝕏 PostBluesky