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Open AccessJournal ArticleDOI

Evaluating the contributions of strategies to prevent SARS-CoV-2 transmission in the healthcare setting: a modelling study.

TLDR
In this article, the authors quantified and compared the impacts of personal protection equipment (PPE) use, patient and healthcare workers surveillance testing and sub-cohorting strategies to prevent the COVID-19 pandemic.
Abstract
Introduction Since its onset, the COVID-19 pandemic has caused significant morbidity and mortality worldwide, with particularly severe outcomes in healthcare institutions and congregate settings. To mitigate spread, healthcare systems have been cohorting patients to limit contacts between uninfected patients and potentially infected patients or healthcare workers (HCWs). A major challenge in managing the pandemic is the presence of currently asymptomatic/presymptomatic individuals capable of transmitting the virus, who could introduce COVID-19 into uninfected cohorts. The optimal combination of personal protective equipment (PPE), testing and other approaches to prevent these events is unclear, especially in light of ongoing limited resources. Methods Using stochastic simulations with a susceptible-exposed-infected-recovered dynamic model, we quantified and compared the impacts of PPE use, patient and HCWs surveillance testing and subcohorting strategies. Results In the base case without testing or PPE, the healthcare system was rapidly overwhelmed, and became a net contributor to the force of infection. We found that effective use of PPE by both HCWs and patients could prevent this scenario, while random testing of apparently asymptomatic/presymptomatic individuals on a weekly basis was less effective. We also found that even imperfect use of PPE could provide substantial protection by decreasing the force of infection. Importantly, we found that creating smaller patient/HCW-interaction subcohorts can provide additional resilience to outbreak development with limited resources. Conclusion These findings reinforce the importance of ensuring adequate PPE supplies even in the absence of testing and provide support for strict subcohorting regimens to reduce outbreak potential in healthcare institutions.

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Citations
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COVID-19 Prevention and Control Measures in Workplace Settings: A Rapid Review and Meta-Analysis.

TL;DR: A rapid review and meta-analysis was conducted to synthesize evidence assessing the effectiveness of COVID-19 IPC measures implemented in global workplace settings through April 2021 as discussed by the authors, where 60 studies from healthcare, nursing home, meatpacking, manufacturing, and office settings were included, accounting for ~280,000 employees based in Europe, Asia, and North America.
Journal ArticleDOI

Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study.

TL;DR: In this article, the authors developed an agent-based model and compared the impact of personal protective equipment (PPE), screening of healthcare workers (HCWs), contact tracing of symptomatic HCWs and restricting HCWs from working in multiple units (HCW cohorting) on nosocomial SARS-CoV-2 transmission.
Journal ArticleDOI

SARS-CoV-2 transmission and control in a hospital setting: an individual-based modelling study

TL;DR: In this article, the authors developed an individual-based model for COVID-19 transmission in a hospital setting and calibrated the model using data of a COVID19 outbreak in a unit in Wuhan.
Posted ContentDOI

SARS-CoV-2 transmission and control in a hospital setting: an individual-based modelling study

TL;DR: An individual-based model for COVID-19 transmission among healthcare workers in a hospital setting indicates that a quarantine policy should be coupled with other interventions to achieve its effect, and shows that a CO VID-19 outbreak in a Hospital Unit can be controlled or mitigated by the use of existing non-pharmaceutical measures.
Journal ArticleDOI

Control of airborne infectious disease in buildings: Evidence and research priorities.

TL;DR: In this article, the authors identify an overarching need for investment to implement building controls and evaluate their effectiveness on infection in well-characterized and real-world settings, supported by specific, methodological advances.
References
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Journal ArticleDOI

Temporal dynamics in viral shedding and transmissibility of COVID-19.

TL;DR: It is estimated that 44% (95% confidence interval, 25–69%) of secondary cases were infected during the index cases’ presymptomatic stage, in settings with substantial household clustering, active case finding and quarantine outside the home.
Journal ArticleDOI

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.

TL;DR: It is inferred that epidemics are already growing exponentially in multiple major cities of China with a lag time behind the Wuhan outbreak of about 1–2 weeks, and that other major Chinese cities are probably sustaining localised outbreaks.
Journal ArticleDOI

Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.

TL;DR: A mathematical model for infectiousness was developed to estimate the basic reproductive number R0 and to quantify the contribution of different transmission routes and the requirements for successful contact tracing, and the combination of two key parameters needed to reduce R0 to less than 1 was determined.
Journal ArticleDOI

Superspreading and the effect of individual variation on disease emergence

TL;DR: It is shown that contact tracing data from eight directly transmitted diseases shows that the distribution of individual infectiousness around R0 is often highly skewed, and implications for outbreak control are explored, showing that individual-specific control measures outperform population-wide measures.
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