Publication date: Sep 23, 2025
Establishing a strong correlation between active SARS-CoV-2 infection and COVID-19 severity could enhance early risk assessment, predict disease outcomes, and identify patients needing urgent treatment. In this prospective SARS-CoV-2 transmission cohort study, we introduce the potential of a symptoms severity score (S3) based on patient self-reported symptoms and further evaluate its utility for predicting SARS-CoV-2 infection status and viral load. The S3 construct, derived from a participant survey using pre-defined scales (Cronbach’s alpha=0. 7), was categorized as asymptomatic, mild to moderate, or severe. This analysis comprised nine household contacts, contributing 1,410 qualitative and 89 quantitative visit-test observations. S3 showed a high correlation with total symptoms (Pearson r = 0. 963, p
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Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | SARS-CoV-2 infection |
| pathway | REACTOME | SARS-CoV-2 Infection |
| disease | MESH | viral load |
| pathway | REACTOME | Reproduction |
| disease | MESH | Infectious Diseases |
| disease | IDO | symptom |