Author

Olukayode Ganiu Odufuwa

Ifakara Health InstituteORCID 0000-0002-3887-9394Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Alphonce A. AssengaiD· 1 shared Aurelien Tarroux· 1 shared Barnabas Zogo· 1 shared Clara ChampagneiD· 1 shared Emilie PothiniD· 1 shared Emma Louise FairbanksiD· 1 shared Jason Moore· 1 shared Jeanne LemantiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEcology

Alphonce A. AssengaORCID

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2 papers

Recent·Most cited

Quantifying the impact of experimental hut design on intervention evaluation outcomes and predicted reductions in vectorial capacity

Emma Louise Fairbanks, Alphonce A. Assenga, Olukayode Ganiu Odufuwa, Raphaël N’Guessan, Jason Moore, Sarah J Moore

This paper quantifies how different experimental hut designs affect the evaluation of insecticide-treated nets and predicts reductions in vectorial capacity, showing that hut design has a larger impact than net washing.

bioRxiv · Aug 25, 2026 · PreprintEcology

Estimating mosquito bionomics parameters with a hierarchical Bayesian model

Jeanne Lemant, Aurelien Tarroux, Thomas A. Smith, Barnabas Zogo, Monica Golumbeanu, Olukayode Ganiu Odufuwa, Seth R. Irish, Sarah Moore, Emilie Pothin, Clara Champagne

The paper estimates bionomic parameters of Anopheles mosquitoes using a hierarchical Bayesian model and quantifies vectorial capacity reduction from insecticide-treated nets.

Current Research in Parasitology and Vector-Borne Diseases · Jan 1, 2026Peer-reviewedZoology

Olukayode Ganiu Odufuwa · henhao