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SARS-CoV-2 infectivity by viral load, S gene variants and demographic factors and the utility of lateral flow devices to prevent transmission
Lennard YW Lee; Stefan Rozmanowski; Matthew Pang; Andre Charlett; Charlotte Anderson; Gareth J Hughes; Matthew Barnard; Leon Peto; Richard Vipond; Alex Sienkiewicz; Susan Hopkins; John Bell; Derrick W Crook; Nick Gent; A Sarah Walker; Tim EA Peto; David W Eyre.
Affiliation
  • Lennard YW Lee; University of Oxford
  • Stefan Rozmanowski; UK Government Department of Health and Social Care
  • Matthew Pang; UK Government Department of Health and Social Care
  • Andre Charlett; Public Health England
  • Charlotte Anderson; Public Health England
  • Gareth J Hughes; Public Health England
  • Matthew Barnard; UK Government Department of Health and Social Care
  • Leon Peto; University of Oxford
  • Richard Vipond; Public Health England
  • Alex Sienkiewicz; Public Health England
  • Susan Hopkins; Public Health England
  • John Bell; University of Oxford
  • Derrick W Crook; University of Oxford
  • Nick Gent; Public Health England
  • A Sarah Walker; University of Oxford
  • Tim EA Peto; University of Oxford
  • David W Eyre; University of Oxford
Preprint in English | medRxiv | ID: ppmedrxiv-21254687
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
BackgroundHow SARS-CoV-2 infectivity varies with viral load is incompletely understood. Whether rapid point-of-care antigen lateral flow devices (LFDs) detect most potential transmission sources despite imperfect sensitivity is unknown. MethodsWe combined SARS-CoV-2 testing and contact tracing data from England between 01-September-2020 and 28-February-2021. We used multivariable logistic regression to investigate relationships between PCR-confirmed infection in contacts of community-diagnosed cases and index case viral load, S gene target failure (proxy for B.1.1.7 infection), demographics, SARS-CoV-2 incidence, social deprivation, and contact event type. We used LFD performance to simulate the proportion of cases with a PCR-positive contact expected to be detected using one of four LFDs. Results231,498/2,474,066 (9%) contacts of 1,064,004 index cases tested PCR-positive. PCR-positive results in contacts independently increased with higher case viral loads (lower Ct values) e.g., 11.7%(95%CI 11.5-12.0%) at Ct=15 and 4.5%(4.4-4.6%) at Ct=30. B.1.1.7 infection increased PCR-positive results by [~]50%, (e.g. 1.55-fold, 95%CI 1.49-1.61, at Ct=20). PCR-positive results were most common in household contacts (at Ct=20.1, 8.7%[95%CI 8.6-8.9%]), followed by household visitors (7.1%[6.8-7.3%]), contacts at events/activities (5.2%[4.9-5.4%]), work/education (4.6%[4.4-4.8%]), and least common after outdoor contact (2.9%[2.3-3.8%]). Contacts of children were the least likely to test positive, particularly following contact outdoors or at work/education. The most and least sensitive LFDs would detect 89.5%(89.4-89.6%) and 83.0%(82.8-83.1%) of cases with PCR-positive contacts respectively. ConclusionsSARS-CoV-2 infectivity varies by case viral load, contact event type, and age. Those with high viral loads are the most infectious. B.1.1.7 increased transmission by [~]50%. The best performing LFDs detect most infectious cases. Key pointsIn 2,474,066 contacts of 1,064,004 SARS-CoV-2 cases, PCR-positive tests in contacts increased with higher index case viral loads, the B.1.1.7 variant and household contact. Children were less infectious. Lateral flow devices can detect 83.0-89.5% of infections leading to onward transmission.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study Language: English Year: 2021 Document type: Preprint
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