Impact of viral load on sample pooling for reverse-transcription polymerase chain reaction detection-based diagnosis of coronavirus disease 2019 in Nigeria
The findings provide critical guidelines for determining the optimal pool sizes based on Ct values, aiding in effective COVID-19 testing strategies. By optimising sample pooling based on viral load, health authorities can improve their response to future COVID-19 outbreaks and similar public health emergencies.
Authors
- Chukwuebuka Ugwu (ORCID: https://orcid.org/0000-0001-9171-4516)
- John Bimba (ORCID: https://orcid.org/0000-0001-7847-4271)
- Alaa H. Ibrahim
- Timan Taryuta Eliya (ORCID: https://orcid.org/0009-0005-1514-5442)
- Bassey Emmana
- Elvis Isere (ORCID: https://orcid.org/0000-0002-1047-2218)
- Jonathan Kushim
- Precious Ishaku
Institutions
- Liverpool School of Tropical Medicine (GB)
- Bingham University (NG)
Publication Details
- Journal
- African Journal of Laboratory Medicine
- Published
- 2025-02-10
- DOI
- https://doi.org/10.4102/ajlm.v14i1.2514
- Citations
- 1
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 1.40