Modelling multiplex testing for outbreak control

Martyn Fyles*, Christopher E. Overton, Thomas Ward, Emma Bennett, Tom Fowler, Ian Hall

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

During the SARS-CoV-2 pandemic, polymerase chain reaction (PCR) and lateral flow device (LFD) tests were frequently deployed to detect the presence of SARS-CoV-2. Many of these tests were singleplex, and only tested for the presence of a single pathogen. Multiplex tests can test for the presence of several pathogens using only a single swab, which can allow for: surveillance of more pathogens, targeting of antiviral interventions, a reduced burden of testing, and lower costs. Test sensitivity, however, particularly in LFD tests, is highly conditional on the viral concentration dynamics of individuals. To inform the use of multiplex testing in outbreak detection it is therefore necessary to investigate the interactions between outbreak detection strategies and the differing viral concentration trajectories of key pathogens. Viral concentration trajectories are estimated for SARS-CoV-2 and Influenza A/B. Testing strategies for the first five symptomatic cases in an outbreak are then simulated and used to evaluate key performance indicators. Strategies that use a combination of multiplex LFD and PCR tests achieve; high levels of detection, detect outbreaks rapidly, and have the lowest burden of testing across multiple pathogens. Influenza B was estimated to have lower rates of detection due to its modelled viral concentration dynamics.

Original languageEnglish
Article number106303
JournalJournal of Infection
Volume89
Issue number6
DOIs
Publication statusPublished - Dec 2024

Bibliographical note

Publisher Copyright:
© 2024

Keywords

  • Detection
  • Influenza
  • Lateral flow device
  • Multiplex
  • Outbreak
  • Polymerase Chain Reaction
  • SARS-CoV-2
  • Test sensitivity
  • Testing
  • Viral concentration

Fingerprint

Dive into the research topics of 'Modelling multiplex testing for outbreak control'. Together they form a unique fingerprint.

Cite this