Author

J. A. Bouman

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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Evolutionary Biology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:clinical cohort / trial· 1 Assay:proteomics· 1

Frequent Co-Authors

R. R. Regoes· 2 shared C. Capelli· 1 shared C. Venner· 1 shared C. Walker· 1 shared E. J. Arts· 1 shared J. Riou· 1 shared R. Regoes· 1 shared S. Bonhoeffer· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 10 mutual co-author links

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2 shared papersEvolutionary Biology

R. R. Regoes

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Per-Pathogen Virulence of HIV-1 subtypes A, C and D

J. A. Bouman, C. Venner, C. Walker, E. J. Arts, R. R. Regoes

The paper compares the per-pathogen virulence of HIV-1 subtypes A, C, and D using clinical data and finds subtype C has significantly higher virulence than subtype A.

bioRxiv · Mar 18, 2022Evolutionary Biology

Diversity of vaccination-induced immune responses can prevent the spread of vaccine escape mutants

J. A. Bouman, C. Capelli, R. Regoes

The paper shows that diverse immune responses from vaccination can prevent the spread of escape mutants by establishing critical diversity thresholds and quantifying escape depth.

bioRxiv · Apr 14, 2021 · PreprintEvolutionary Biology

Estimating cumulative incidence of SARS-CoV-2 with imperfect serological tests: a cutoff-free approach

J. A. Bouman, J. Riou, S. Bonhoeffer, R. R. Regoes

This paper introduces a cutoff-free mixture-model approach to estimate SARS-CoV-2 cumulative incidence using serological tests, showing it reduces bias and improves reliability compared to traditional cutoff-based methods.

bioRxiv · Apr 29, 2020Immunology