Article

Generative embedding of sparse data with a tabular foundation model for dengue anticipatory action: a machine learning approach

2026-07-06

Abstract excerpt

<h4>Background</h4> Early outbreak detection has largely relied on complex, data-intensive models with limited applicability to low-resource surveillance. Even state-of-the-art tabular foundation models require dense datasets for fine-tuning to capture disease transmission dynamics. We address this by building a domain-mechanistic generative embedding from cases and rainfall to detect early epidemic onset. <h4>Me...

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Literature Corpus work: f237ebf2-6ed9-58e3-8da6-2172a5086f1e
DOI: 10.64898/2026.07.03.26357228

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