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Extrapolation of United Kingdom Pillar 2 Care home Covid-19 test data to ascertain effectiveness of lateral flow testing in low prevalence settings
Jack Ferguson; Steven Dunn; Angus Best; Jeremy Mirza; Benita Percival; Megan Mayhew; Oliver Megram; Fiona Ashford; Thomas White; Emma Moles-Garcia; Tim Plant; Andrew Bosworth; Mike Kidd; Alex Richter; Jonathan J Deeks; Alan McNally.
Afiliação
  • Jack Ferguson; University of Birmimgham
  • Steven Dunn; University of Birmimgham
  • Angus Best; University of Birmingham
  • Jeremy Mirza; University of Birmingham
  • Benita Percival; University of Birmingham
  • Megan Mayhew; University of Birmingham
  • Oliver Megram; University of Birmingham
  • Fiona Ashford; University of Birmingham
  • Thomas White; University of Birmingham
  • Emma Moles-Garcia; University of Birmingham
  • Tim Plant; University of Birmingham
  • Andrew Bosworth; Public Health England
  • Mike Kidd; University of Birmingham
  • Alex Richter; University of Birminghan
  • Jonathan J Deeks; University of Birmingham
  • Alan McNally; University of Birmingham
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20237784
ABSTRACT
Lateral flow devices are quickly being implemented for use in large scale population surveillance programs for SARS-CoV-2 infection in the United Kingdom. These programs have been piloted in city wide screening in the city of Liverpool, and are now being rolled out to support care home visits and the return home of University students for the Christmas break. Here we present data on the performance of Lateral Flow devices to test almost 8,000 students at the University of Birmingham between December 2nd and December 9th 2020. The performance is validated against almost 800 samples using PCR performed in the University Pillar 2 testing lab, and theoretically validated on thousands of Pillar 2 PCR testing results performed on low-prevalence care home testing samples. Our data shows that Lateral Flow Devices do not detect infections presenting with PCR Ct values over 29-30, meaning that only 3.2% (95% CI 0.6% to 15.6%) of total cases in the student population were detected, but that as many of 85% of cases tested in the Pillar 2 PCR lab would have been detected theoretically
Licença
cc_by_nc
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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