Author

J. C. Beier

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 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. B. B. Wilke· 1 shared A. Junnila· 1 shared A. Mantero· 1 shared C. Vasquez· 1 shared E. E. Revay· 1 shared F. Sisoko· 1 shared G. C. Muller· 1 shared J. Alexander· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEcology

A. B. B. Wilke

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2 papers

Recent·Most cited

Using machine learning to understand microgeographic determinants of the Zika vector, Aedes aegypti

J. Alexander, A. B. B. Wilke, A. Mantero, C. Vasquez, W. Petrie, N. Kumar, J. C. Beier

This study uses machine learning to analyze mosquito population dynamics in Miami-Dade County, finding neighborhood-specific factors influencing Zika vector distribution.

bioRxiv · Mar 3, 2022Ecology

Frequent sugar feeding behavior by Aedes aegypti in Bamako, Mali makes them ideal candidates for control with attractive toxic sugar baits (ATSB)

F. Sisoko, A. Junnila, M. Traore, S. F. Traore, S. Doumbia, S. M. Dembele, Y. Schlein, P. Gergely, R.-d. Xue, K. L. Arheart, E. E. Revay, V. D. Kravchenko, J. C. Beier, G. C. Muller

This study shows Aedes aegypti mosquitoes in Bamako, Mali frequently feed on sugar sources, making them suitable targets for attractive toxic sugar baits (ATSB) as a control method.

PLOS ONE · Jun 17, 2019Peer-reviewedEcology