Altmetric

Characterising the persistence of RT-PCR positivity and incidence in a community survey of SARS-CoV-2

Title: Characterising the persistence of RT-PCR positivity and incidence in a community survey of SARS-CoV-2
Authors: Eales, O
Walters, CE
Wang, H
Haw, D
Ainslie, KEC
Atchison, CJ
Page, AJ
Prosolek, S
Trotter, AJ
Le Viet, T
Alikhan, N-F
Jackson, LM
Ludden, C
Ashby, D
Donnelly, CA
Cooke, G
Barclay, W
Ward, H
Darzi, A
Elliott, P
Riley, S
Item Type: Journal Article
Abstract: Background: The REal-time Assessment of Community Transmission-1 (REACT-1) study has provided unbiased estimates of swab-positivity in England approximately monthly since May 2020 using RT-PCR testing of self-administered throat and nose swabs. However, estimating infection incidence requires an understanding of the persistence of RT-PCR swab-positivity in the community. Methods: During round 8 of REACT-1 from 6 January to 22 January 2021, we collected up to two additional swabs from 896 initially RT-PCR positive individuals approximately 6 and 9 days after their initial swab. Results: Test sensitivity and duration of positivity were estimated using an exponential decay model, for all participants and for subsets by initial N-gene cycle threshold (Ct) value, symptom status, lineage and age. A P-spline model was used to estimate infection incidence for the entire duration of the REACT-1 study. REACT-1 test sensitivity was estimated at 0.79 (0.77, 0.81) with median duration of positivity at 9.7 (8.9, 10.6) days. We found greater duration of positivity in those exhibiting symptoms, with low N-gene Ct values, or infected with the Alpha variant. Test sensitivity was found to be higher for those who were pre-symptomatic or with low N-gene Ct values. Compared to swab-positivity, our estimates of infection incidence included sharper features with evident transient increases around the time of changes in social distancing measures. Conclusions: These results validate previous efforts to estimate incidence of SARS-CoV-2 from swab-positivity data and provide a reliable means to obtain community infection estimates to inform policy response.
Issue Date: 21-Mar-2022
Date of Acceptance: 1-Mar-2022
URI: http://hdl.handle.net/10044/1/96716
DOI: 10.12688/wellcomeopenres.17723.1
ISSN: 2398-502X
Publisher: F1000Research
Start Page: 102
End Page: 102
Journal / Book Title: Wellcome Open Research
Volume: 7
Copyright Statement: © 2022 Eales O et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Department of Health
The Huo Family Foundation UK Limited
Funder's Grant Number: n/a
COVID 19 RESPONSE
Publication Status: Published online
Open Access location: https://wellcomeopenresearch.org/articles/7-102/v1
Online Publication Date: 2022-03-21
Appears in Collections:Department of Infectious Diseases
Imperial College London COVID-19
School of Public Health



This item is licensed under a Creative Commons License Creative Commons