Author

R. O. Mummah

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

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Assay:proteomics· 2 Approach:Bayesian inference· 1 Approach:experimental assay· 1 Organism:mouse· 1 Organism:non-human primate· 1 Organism:rat· 1 Organism:zebrafish· 1

Frequent Co-Authors

A. H. Guglielmino· 2 shared B. Borremans· 2 shared J. O. Lloyd-Smith· 2 shared K. C. Prager· 2 shared R. L. Galloway· 2 shared A. C. R. Gomez· 1 shared N. Hens· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersEcology

A. H. Guglielmino

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2 papers

Recent·Most cited

Navigating cross-reactivity and host species effects in a serological assay: A case study of the microscopic agglutination test for Leptospira serology

R. O. Mummah, A. C. R. Gomez, A. H. Guglielmino, B. Borremans, R. L. Galloway, K. C. Prager, J. O. Lloyd-Smith

This paper examines cross-reactivity and host species effects in serological data using MAT for Leptospira, showing that antibody titers vary by host and lab, and that high titers do not reliably indicate the infecting serovar.

bioRxiv · Mar 5, 2024 · PreprintEcology

Inferring time of infection from field data using dynamic models of antibody decay

B. Borremans, R. O. Mummah, A. H. Guglielmino, R. L. Galloway, N. Hens, K. C. Prager, J. O. Lloyd-Smith

The paper develops a Bayesian dynamic model to estimate infection times from antibody decay data, improving accuracy in wildlife disease ecology.

bioRxiv · Oct 3, 2022Ecology