2023
DOI: 10.1016/j.jtbi.2022.111335
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Modelling the impact of repeat asymptomatic testing policies for staff on SARS-CoV-2 transmission potential

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Cited by 6 publications
(11 citation statements)
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“…Finally, the third study [28] demonstrated that the strategy to regularly test asymptomatic workers is a highly effective measure to reduce transmission of SARS-CoV-2 in workplaces.…”
Section: Analyses Of Scenariomentioning
confidence: 96%
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“…Finally, the third study [28] demonstrated that the strategy to regularly test asymptomatic workers is a highly effective measure to reduce transmission of SARS-CoV-2 in workplaces.…”
Section: Analyses Of Scenariomentioning
confidence: 96%
“…Then, we evaluated the eligibility of the include papers by full text. The final screening resulted in the inclusion of three papers [26][27][28], as discussed below.…”
Section: Analyses Of Scenariomentioning
confidence: 99%
See 1 more Smart Citation
“…23.23287633 doi: medRxiv preprint In multi-scale epidemic modelling frameworks, within-host viral dynamics models, which describe how the viral load of an infected host evolves over the course of infection and can be calibrated to longitudinal individual data, are used to inform population-level epidemiological models (23)(24)(25). One advantage of such approaches is that they facilitate a detailed description of the impact of interventions, such as antigen testing (26)(27)(28) or the use of antiviral drugs (29), which depend upon and/or affect the within-host dynamics in a manner that cannot be fully captured in simple population-level models. Multi-scale approaches have been applied to SARS-CoV-2 (26)(27)(28)(29)(30)(31)(32)(33) and other pathogens including influenza (23,34) to generate outbreak projections and test control interventions.…”
Section: (Which Was Not Certified By Peer Review)mentioning
confidence: 99%
“…One advantage of such approaches is that they facilitate a detailed description of the impact of interventions, such as antigen testing (26)(27)(28) or the use of antiviral drugs (29), which depend upon and/or affect the within-host dynamics in a manner that cannot be fully captured in simple population-level models. Multi-scale approaches have been applied to SARS-CoV-2 (26)(27)(28)(29)(30)(31)(32)(33) and other pathogens including influenza (23,34) to generate outbreak projections and test control interventions. However, multi-scale methods have not previously been used to estimate the outbreak risk, or to analyse how the risk can be mitigated through pre-emptive interventions.…”
Section: Introductionmentioning
confidence: 99%