Article

Hybrid Statistical Learning for COVID-19 Testing Operations: A Multitask Modeling of Positivity, Viral Load and Turnaround Time

2026-03-02

Abstract excerpt

<title>Abstract</title> <p>Timely and reliable COVID-19 testing requires more than accurate diagnostics: laboratories must triage infection risk, quantify viral burden among positives, and de-bottleneck turnaround times (TATs). Using a de-identified cohort of 15{,}524 PCR tests from a large pediatric health system in 2020, we develop a hybrid pipeline that jointly models (i) test positivity, (ii) cycle-threshold...

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Literature Corpus work: 38d237da-0c1d-598e-94b3-136e5cb70efc
DOI: 10.21203/rs.3.rs-8595144/v1

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