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KCL TEST: an open-source inspired asymptomatic SARS-CoV-2 surveillance programme in an academic institution
Joana Reis de Andrade1, Edward Scourfield1, Shilpa Lekhraj Peswani-Sajnani1
1Research Management and Innovation Directorate, KCL TEST, King's College London, London, UK.
Biology Methods & Protocols
|July 12, 2024
Summary
KCL TEST provided free, accessible SARS-CoV-2 saliva PCR testing, achieving a 16-hour turnaround time. This university-led program demonstrates the value of regular asymptomatic testing for community health and pandemic preparedness.
Area of Science:
- Virology
- Public Health
- Laboratory Diagnostics
Background:
- The COVID-19 pandemic necessitated rapid and accessible diagnostic testing.
- Asymptomatic transmission posed a significant challenge to disease control.
- Universities possess underutilized resources for public health initiatives.
Purpose of the Study:
- To describe the establishment and operation of KCL TEST, a university-based SARS-CoV-2 asymptomatic testing program.
- To provide a blueprint for establishing similar diagnostic laboratories, especially in low-resource settings.
- To evaluate the effectiveness of community-based asymptomatic testing in managing viral spread.
Main Methods:
- Implementation of a sensitive SARS-CoV-2 RNA saliva PCR testing program.
- Utilization of open-source automation and in-house, non-commercial reagents for cost-effectiveness and rapid deployment.
- Performance of 158,277 PCR tests between December 2020 and July 2022.
Main Results:
- Achieved an average turnaround time of 16 hours and 37 minutes from registration to result.
- Detected a lower positive rate compared to national surveillance data, with minimal detection of the Delta variant.
- Demonstrated the feasibility of large-scale, free-of-charge asymptomatic testing within a university community.
Conclusions:
- Regular asymptomatic community testing is effective in reducing outbreaks and ensuring safe environments.
- Academic institutions can play a crucial role in pandemic preparedness through agile and accurate testing capabilities.
- Low-cost, efficient diagnostic pipelines developed in academic settings are vital for future public health emergencies.
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