Author

B. A. Han

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· 7 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 6 Approach:statistical model· 5 Research Focus:ecology & biodiversity· 4 Approach:machine learning (classical)· 3 Organism:mouse· 3 Research Focus:benchmarking· 2 Organism:human· 2 Organism:rat· 2

Frequent Co-Authors

A. A. Castellanos· 3 shared C. K. Glidden· 2 shared E. A. Mordecai· 2 shared A. A. Majewska· 1 shared A. Anyamba· 1 shared A. Murran· 1 shared A. R. Sjodin· 1 shared A. Varsani· 1 shared

Activity by Year

2020-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 11 mutual co-author links

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3 shared papersEcology

A. A. Castellanos

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Phylogenetic and biogeographical traits predict unrecognized hosts of zoonotic leishmaniasis

C. K. Glidden, A. Murran, R. A. Silva, A. A. Castellanos, B. A. Han, E. A. Mordecai

The paper uses machine learning to predict unrecognized wildlife hosts of zoonotic Leishmania by analyzing biogeography, phylogenetic distance, and environmental traits.

bioRxiv · Oct 11, 2022 · PreprintEcology

Data-Driven Predictions of Potential Leishmania Vectors in Latin America

G. Vadmal, C. K. Glidden, B. A. Han, B. Carvalho, A. A. Castellanos, E. A. Mordecai

This paper uses machine learning to predict potential Leishmania vectors in Latin America based on sandfly traits and environmental factors, identifying two new potential vectors.

bioRxiv · Aug 22, 2022 · PreprintEcology

A systematic review and meta-analysis of the potential non-human animal reservoirs and arthropod vectors of the Mayaro virus

M. Celone, B. Okech, B. A. Han, B. Forshey, A. Anyamba, J. Dunford, G. Rutherford, N. K. Mita Mendoza, E. L. Estallo, R. Khouri, I. C. de Siqueira, S. Pollett

This study identifies non-human animal reservoirs and arthropod vectors of Mayaro virus through a systematic review and meta-analysis of 57 studies.

bioRxiv · Jul 28, 2021Ecology

Predictors of zoonotic potential in helminths

A. A. Majewska, T. Huang, B. A. Han, J. M. Drake

The paper identifies predictors of zoonotic potential in helminths using a global dataset, finding that transmission and geographic traits are more important than morphology or epidemiology.

bioRxiv · Mar 28, 2021Ecology

Predicting the zoonotic capacity of mammals to transmit SARS-CoV-2

I. R. Fischhoff, A. A. Castellanos, J. P. G. L. M. Rodrigues, A. Varsani, B. A. Han

This paper predicts the zoonotic capacity of over 5,000 mammals to transmit SARS-CoV-2 using machine learning, combining ecological traits and 3D protein interaction models.

bioRxiv · Feb 18, 2021Ecology

The evolutionary history of ACE2 usage within the coronavirus subgenus Sarbecovirus

H. L. Wells, M. C. Letko, G. Lasso, B. Ssebide, J. Nziza, D. K. Byarugaba, I. Navarrete-Macias, E. Liang, M. Cranfield, B. A. Han, M. W. Tingley, M. Diuk-Wasser, T. Goldstein, C. Kreuder Johnson, J. Mazet, , S. J. Anthony

This study investigates the evolutionary history of ACE2 usage in sarbecoviruses, showing that ACE2 usage in SARS-CoV-1 and SARS-CoV-2 likely arose through recombination with SARS-CoV-1 relatives, not SARS-CoV-2.

bioRxiv · Jul 7, 2020Evolutionary Biology

Optimizing predictive models to prioritize viral discovery in zoonotic reservoirs

D. Becker, G. F. Albery, A. R. Sjodin, T. Poisot, L. Bergner, T. Dallas, E. A. Eskew, M. J. Farrell, S. Guth, B. A. Han, N. B. Simmons, M. Stock, E. C. Teeling, C. J. Carlson

This study compares and validates predictive models to prioritize sampling of bat hosts for betacoronaviruses, finding ecological trait-based models outperform network methods.

bioRxiv · May 22, 2020Ecology

The macroecology and evolution of avian competence for Borrelia burgdorferi

D. J. Becker, B. A. Han

This study identifies ecological and evolutionary factors driving avian competence for Borrelia burgdorferi, finding that half of sampled bird species are competent and predicting novel reservoirs in the Neotropics.

bioRxiv · Apr 15, 2020Ecology