Consistent comparison of symptom-based methods for COVID-19 infection detection
Abstract
A consistent comparison of various methods for detecting COVID-19 active cases. • UMD-CTIS data for six countries and two periods were used to compare detection methods. • Detection methods were evaluated for countries with different test-positive rates. • Explainability analysis is conducted to quantify the relevance of symptoms in COVID-19 detection.
| Origin | Files produced by the author(s) |
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