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Modelling multiplex testing for outbreak control

delete2024-12-01
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M
Martyn Fyles *
C
Christopher E. Overton
T
Thomas Ward
E
Emma Bennett
T
Tom Fowler
I
Ian Hall
DOI:10.1016/j.jinf.2024.106303delete
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摘要

摘要

En 中文
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. (c) 2024 Published by Elsevier Ltd on behalf of The British Infection Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keyword:
Multiplex
Testing
Outbreak
Detection
SARS-CoV-2
Influenza
Lateral flow device
Polymerase Chain Reaction
Test sensitivity
Viral concentration
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期刊

Journal of Infection 封面图
Journal of Infection
IF:
11.9
论文数:
6.9K
被引数:
1.2W

机构

U
uk health security agency (ukhsa)
学者数:
2.8K
论文数: 1.1K
被引数: 1
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