Enhancing public health outcomes with AI-powered clinical surveillance: Precise detection of COVID-19 variants using qPCR and nanopore sequencing
Our findings demonstrate that while WGS offers enhanced sensitivity and specificity for variant detection, qPCR remains crucial for large-scale testing because of its cost and time efficiency. The integrated approach, which combines both techniques, represents a more comprehensive monitoring algorithm that can improve public health strategies against pandemics such as COVID-19.
Authors
- Hung‐Sheng Shang (ORCID: https://orcid.org/0000-0002-4831-1866)
- Kuo‐Sheng Hung
- Ming‐Jr Jian (ORCID: https://orcid.org/0000-0002-4902-4447)
- Hsing‐Yi Chung (ORCID: https://orcid.org/0000-0002-7870-8354)
- Cherng-Lih Perng
- Chih-Kai Chang
- Chun-Hsiang Chiu
Institutions
- National Defense Medical Center (TW)
Publication Details
- Journal
- Journal of Infection and Public Health
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1016/j.jiph.2025.102663
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tri-Service General Hospital