Simulation Study of Surveillance Strategies for Faster Detection of Novel SARS-CoV-2 Variants

Selina Patel*, Fergus Cumming, Carl Mayers, André Charlett, Steven Riley

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Earlier global detection of novel SARS-CoV-2 variants gives governments more time to respond. However, few countries can implement timely national surveillance, resulting in gaps in monitoring. The United Kingdom implemented large-scale community and hospital surveillance, but experience suggests it might be faster to detect new variants through testing arrivals in England for surveillance. We developed simulations of emergence and importation of novel variants with a range of infection hospitalization rates to the United Kingdom. We compared time taken to detect the variant though testing arrivals at borders in England, hospital admissions, and the general community. We found that sampling 10%–50% of arrivals at borders in England could confer a speed advantage of 3.5–6 weeks over existing community surveillance and 1.5–5 weeks (depending on infection hospitalization rates) over hospital testing. Directing limited global capacity for surveillance to highly connected ports could speed up global detection of novel SARS-CoV-2 variants.

Original languageEnglish
Pages (from-to)2292-2297
Number of pages6
JournalEmerging Infectious Diseases
Volume29
Issue number11
DOIs
Publication statusPublished - Nov 2023

Bibliographical note

Publisher Copyright:
© 2023 Centers for Disease Control and Prevention (CDC). All rights reserved.

Fingerprint

Dive into the research topics of 'Simulation Study of Surveillance Strategies for Faster Detection of Novel SARS-CoV-2 Variants'. Together they form a unique fingerprint.

Cite this