Universal SARS-CoV-2 Testing of Emergency Department Admissions Increases Emergency Department Length of Stay

Article Surgery

Clinical implications of SARS-CoV-2 cycle threshold values in solid organ transplant recipients

David C. Gaston et al.

Summary: Research on SOT recipients suggests that the dynamics of SARS-CoV-2 virus in this population and that C-T values may not predict the severity of COVID-19 but may be more useful in guiding infection prevention measures.

AMERICAN JOURNAL OF TRANSPLANTATION (2021)

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Article Infectious Diseases

Clinical impact of rapid influenza PCR in the adult emergency department on patient management, ED length of stay, and nosocomial infection rate

David R. Peaper et al.

Summary: The study showed that implementing rapid influenza PCR testing in the emergency department can expedite the diagnosis of influenza-positive patients, improve the speed and appropriateness of prescribing antiviral medication, and reduce emergency department length of stay. Additionally, through multifaceted clinical redesign, it is possible to successfully deploy optimized emergency department workflows, positively impacting antiviral stewardship and emergency department management.

INFLUENZA AND OTHER RESPIRATORY VIRUSES (2021)

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Article Public, Environmental & Occupational Health

Targeted rapid testing for SARS-CoV-2 in the emergency department is associated with large reductions in uninfected patient exposure time

J. S. Hinson et al.

Summary: Rapid molecular testing for SARS-CoV-2 can significantly reduce the time to diagnosis of COVID-19, decrease healthcare-related exposure, conserve infection control resources, and increase treatment capacity.

JOURNAL OF HOSPITAL INFECTION (2021)

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Article Health Care Sciences & Services

Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions

Andrea L. Schaffer et al.

Summary: ARIMA modeling is a useful approach for evaluating the impact of large-scale interventions, especially when dealing with seasonality and autocorrelation. It can account for underlying trends, allow for flexible modeling of different impacts, and provide valuable insights for policy evaluation.

BMC MEDICAL RESEARCH METHODOLOGY (2021)

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Article Materials Science, Multidisciplinary

Volatility estimation for COVID-19 daily rates using Kalman filtering technique

Md Al Masum Bhuiyan et al.

Summary: This paper discusses the importance of using stochastic modeling to predict COVID-19 cases, particularly utilizing Kalman filtering technique to forecast stochastic volatility. The study concludes that the Kalman filtering in conjunction with the SV model is a reliable predictive model for COVID-19, less constrained by past information.

RESULTS IN PHYSICS (2021)

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Article Medicine, General & Internal