Modelling plausible scenarios for the Omicron SARS-CoV-2 variant from early-stage surveillance.

We used a spatially explicit agent-based model of SARS-CoV-2 transmission combined with spatially fine-grained COVID-19 observation data from Public Health Scotland to investigate the initial rise of the Omicron (BA.1) variant of concern. We evaluated plausible scenarios for transmission rate advantage and vaccine immune escape relative to the Delta variant based on the data that would have been available at that time.

Comparison of risk-adjusted cumulative quality control charts compared with standardized mortality ratios in critical care.

Purpose: The optimal method for monitoring intensive care unit (ICU) performance is unknown. We sought to compare process control charts using standardized mortality ratio (SMR), p-charts, and cumulative sum (CUSUM) charts for detecting increases in risk-adjusted mortality within ICUs.

Methods: Using data from 17 medical-surgical ICUs that included 29,592 patients in Ontario, Canada, we created risk-adjusted p-charts and SMRs on monthly intervals and CUSUM charts.

Bismuth-based drugs sensitize Pseudomonas aeruginosa to multiple antibiotics by disrupting iron homeostasis.

Pseudomonas aeruginosa infections are difficult to treat due to rapid development of antibiotic drug resistance. The synergistic combination of already-in-use drugs is an alternative to developing new antibiotics to combat antibiotic-resistant bacteria. Here we demonstrate that bismuth-based drugs (bismuth subsalicylate, colloidal bismuth subcitrate) in combination with different classes of antibiotics (tetracyclines, macrolides, quinolones, rifamycins and so on) can eliminate multidrug-resistant P.

The utility of whole-genome sequencing to identify likely transmission pairs for pathogens with slow and variable evolution.

Pathogen whole-genome sequencing (WGS) has been used to track the transmission of infectious diseases in extraordinary detail, especially for pathogens that undergo fast and steady evolution, as is the case with many RNA viruses. However, for other pathogens evolution is less predictable, making interpretation of these data to inform our understanding of their epidemiology more challenging and the value of densely collected pathogen genome data uncertain. Here, we assess the utility of WGS for one such pathogen, in the "who-infected-whom" identification problem.

Health Workers' Mindfulness-Based Stress Reduction and Resilience During COVID-19 Pandemic.

Background: Research indicates that a significant number of healthcare workers accounted for all confirmed Coronavirus disease 2019 (COVID-19) cases, and many of the infected healthcare workers were asymptomatic. During the COVID-19 outbreak, a considerable number of people in Taiwan contracted the disease. Therefore, health workers in Taiwan often experienced lack of medical resources, and this problem is worse for outer island areas.