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MASCOT-DS improves transmission dynamics inference by integrating multiple epidemiological data streams with phylodynamic inference

2026-08-25

Abstract excerpt

Tracking how an infectious disease spreads in time and space relies on several distinct sources of surveillance data, reported case counts, viral concentrations in wastewater, seroprevalence surveys, and pathogen genomic sequences, each of which is imperfect and captures only part of the underlying transmission process. These data streams are typically analyzed separately or with highly parameterized, disease-spec...

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Literature Corpus work
7639ed90-92be-55a3-8a3e-0a9c9d923b45
DOI
10.64898/2026.08.21.26361056
Open publication

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MASCOT-DS improves transmission dynamics inference by integrating multiple epidemiological data streams with phylodynamic inferenceDOI 10.64898/2026.08.21.26361056
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