Author

R Kevin Smith

University of Illinois Urbana-Champaign

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:spatial domain detection· 2 Approach:Bayesian inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Abrar HussainiD· 2 shared Lelys Bravo de GuenniiD· 2 shared Nohra E. Mateus‐PinillaiD· 1 shared Sabir HussainiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersEcology

Abrar HussainORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintOct 14, 2026

Bayesian spatial prediction of three medically important tick species in Illinois

Abrar Hussain, Lelys Bravo de Guenni, Nohra E. Mateus‐Pinilla, R Kevin Smith

The paper uses Bayesian hierarchical spatial models to predict the relative abundance of three tick species in Illinois based on environmental and spatial data.

DOI 10.64898/2026.04.16.719082

Bayesian inferencespatial domain detection

𝕏 PostBluesky

EcologybioRxivPreprintSep 14, 2026

Bayesian spatial prediction of livestock tick abundance to support surveillance in data-sparse regions

Abrar Hussain, Sabir Hussain, Lelys Bravo de Guenni, R Kevin Smith

The paper develops a Bayesian spatial model to predict tick abundance in livestock systems using heterogeneous surveillance data, showing improved model fit and identifying areas needing more data collection.

DOI 10.64898/2026.04.16.719086

statistical modelspatial domain detection

𝕏 PostBluesky