Inferring the hidden and long-range dengue transmission routes in Singapore
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: network inference, epidemiological modeling, dengue transmission, spatiotemporal modeling, latent transmission networks, mechanistic modeling, surveillance data analytics
TL;DR: We used ML to uncover hidden dengue transmission networks in Singapore directly from routine case data. By combining a mechanistic epidemic model with scalable network inference, we found transmission links to guide intervention strategies.
Confirmation Of Submission Requirements: I submit a previously published paper. It was published in an archival peer–reviewed venue on or after September 1st 2025, I specify the DOI in the field below, and I submit the camera-ready version of the paper.
DOI: https://doi.org/10.1088/3049-477X/ae16ab
Submission Number: 341
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