Author

Jenicca Poongavanan

Stellenbosch UniversityORCID 0000-0002-8730-1046Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Houriiyah TegallyiD· 3 shared Marcel DunaiskiiD· 3 shared Túlio de OliveiraiD· 3 shared Alash’le AbimikuiD· 2 shared Aminu Musa· 2 shared Anna WintersiD· 2 shared Chenfeng XiongiD· 2 shared Cheryl BaxteriD· 2 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Houriiyah TegallyORCID

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Author profile →

3 papers

Recent·Most cited

Disaggregation Regression and Multi-Model Evaluation for Predicting Dengue Risk in Africa

Jenicca Poongavanan, Tim C. D. Lucas, Gaspary Mwanyika, Moritz U. G. Kraemer, José Lourenço, Marcel Dunaiski, Túlio de Oliveira, Houriiyah Tegally

This paper uses disaggregation regression to predict dengue incidence in Africa from aggregated data, showing better alignment with reported cases than environmental suitability models.

bioRxiv · Jun 17, 2025 · PreprintEcology

Alignment Free Viral Sequence Classification

Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally, Cheryl Baxter, Túlio de Oliveira, Joicymara Santos Xavier, Christina Riley, Anna Winters, Vivek Naranbhai, Felix Made, Salim Abdool Karim, Kennedy Otwombe, Alash’le Abimiku, Sophia Osawe, James Onyemata, , Xin Wu

This study evaluates alignment-free methods for viral sequence classification, showing high accuracy and efficiency on SARS-CoV-2, dengue, and HIV datasets.

BMC Genomics · Apr 18, 2025Peer-reviewedGenomics

Craft: A Machine Learning Approach to Dengue Subtyping

Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally, Cheryl Baxter, Túlio de Oliveira, Joicymara Santos Xavier, Christina Riley, Anna Winters, Vivek Naranbhai, Felix Made, Salim S. Abdool Karim, Kennedy Otwombe, Alash’le Abimiku, Sophia Osawe, James Ezenwa Onyemata, , Xin Wu

Craft is a machine learning framework for dengue subtyping that achieves high accuracy and speed, outperforming existing tools in classification efficiency.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedGenomics