Your browser doesn't support javascript.
Modelling the impact of repeat asymptomatic testing policies for staff on SARS-CoV-2 transmission potential.
Whitfield, Carl A; Hall, Ian.
  • Whitfield CA; Department of Mathematics, University of Manchester, United Kingdom. Electronic address: carl.whitfield@manchester.ac.uk.
  • Hall I; Department of Mathematics, University of Manchester, United Kingdom.
J Theor Biol ; 557: 111335, 2023 01 21.
Article in English | MEDLINE | ID: covidwho-2320421
ABSTRACT
Repeat asymptomatic testing in order to identify and quarantine infectious individuals has become a widely-used intervention to control SARS-CoV-2 transmission. In some workplaces, and in particular health and social care settings with vulnerable patients, regular asymptomatic testing has been deployed to staff to reduce the likelihood of workplace outbreaks. We have developed a model based on data available in the literature to predict the potential impact of repeat asymptomatic testing on SARS-CoV-2 transmission. The results highlight features that are important to consider when modelling testing interventions, including population heterogeneity of infectiousness and correlation with test-positive probability, as well as adherence behaviours in response to policy. Furthermore, the model based on the reduction in transmission potential presented here can be used to parameterise existing epidemiological models without them having to explicitly simulate the testing process. Overall, we find that even with different model paramterisations, in theory, regular asymptomatic testing is likely to be a highly effective measure to reduce transmission in workplaces, subject to adherence. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics".
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: J Theor Biol Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: J Theor Biol Year: 2023 Document Type: Article