Author

D. D. Soma

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 Microbiology· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

R. K. Dabire· 4 shared A. A. Koffi· 3 shared C. Pennetier· 3 shared N. Moiroux· 3 shared B. Zogo· 2 shared F. Simard· 2 shared K. Mouline· 2 shared P. Taconet· 2 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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4 shared papersEcology

R. K. Dabire

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A metagenomics-based survey of the virus diversity in mosquito vectors allows the first detection of Sindbis virus in Burkina Faso

D. Kabore, A. Exbrayat, f. charriat, D. D. Soma, S. Sawadogo, G. A. Ouedraogo, E. Tuaillon, P. Van de Perre, T. Baldet, R. K. Dabire, P. Gil, S. Gutierrez

The paper uses metagenomics to survey mosquito vectors in Burkina Faso, detecting Sindbis virus for the first time in the region and identifying a new potential vector species.

bioRxiv · Feb 2, 2024 · PreprintMicrobiology

Physiological and behavioural resistance of malaria vectors in rural West-Africa : a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predictability

P. Taconet, D. D. SOMA, B. Zogo, K. Mouline, F. Simard, A. A. Koffi, R. K. Dabire, C. Pennetier, N. Moiroux

This study models insecticide resistance and behavioural traits of malaria mosquitoes using environmental and field data to assess their spatial and temporal patterns and drivers.

bioRxiv · Aug 20, 2022Ecology

Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

P. Taconet, A. Porciani, D. D. Soma, K. Mouline, F. Simard, A. A. Koffi, C. Pennetier, R. K. Dabire, M. Mangeas, N. Moiroux

This study uses interpretable machine learning to identify environmental factors influencing malaria vector biting rates in rural Burkina Faso.

bioRxiv · Apr 13, 2021Ecology

Anopheles bionomics, insecticide resistance mechanisms and malaria transmission in the Korhogo area, northern Cote d Ivoire: a pre-intervention study

B. Zogo, D. D. Soma, B. N. C. Tchiekoi, A. Some, L. P. Ahoua Alou, A. A. Koffi, F. Fournet, A. Dahounto, B. Coulibaly, S. Kande, R. K. Dabire, L. Baba-Moussa, N. Moiroux, C. Pennetier

The paper describes malaria transmission patterns, insecticide resistance, and vector behavior in Korhogo, Cote d'Ivoire, providing baseline data for a control trial.

bioRxiv · Mar 28, 2019Zoology