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Tracking genetic variations from positive SARS-CoV-2 samples yields crucial information about the number of variants circulating in an outbreak and the possible lines of transmission but sequencing every positive SARS-CoV-2 sample would be prohibitively costly for population-scale test and trace operations. Genotyping is a rapid, high-throughput and low-cost alternative for screening positive SARS-CoV-2 samples in many settings. We have designed a SNP identification pipeline to identify genetic variation using sequenced SARS-CoV-2 samples. Our pipeline identifies a minimal marker panel that can define distinct genotypes. To evaluate the system, we developed a genotyping panel to detect variants-identified from SARS-CoV-2 sequences surveyed between March and May 2020 and tested this on 50 stored qRT-PCR positive SARS-CoV-2 clinical samples that had been collected across the South West of the UK in April 2020. The 50 samples split into 15 distinct genotypes and there was a 61.9% probability that any two randomly chosen samples from our set of 50 would have a distinct genotype. In a high throughput laboratory, qRT-PCR positive samples pooled into 384-well plates could be screened with a marker panel at a cost of < £1.50 per sample. Our results demonstrate the usefulness of a SNP genotyping panel to provide a rapid, cost-effective, and reliable way to monitor SARS-CoV-2 variants circulating in an outbreak. Our analysis pipeline is publicly available and will allow for marker panels to be updated periodically as viral genotypes arise or disappear from circulation., Competing Interests: Co-author, Nisha Jain, is the Operations Director for 3CR Bioscience Limited. This does not alter our adherence to PLOS ONE policies on sharing data and materials. All remaining authors have declared that no competing interests exist.

In response to growing evidence of associations between harmful masculinities and adverse health outcomes, researchers developed the Man Box Scale to provide a standardized measure to assess these inequitable gender attitudes. In 2019, we evaluated the psychometric properties of the 17-item Man Box Scale and derived a 5-item short form. Using previously collected data (in 2016) from men aged 18-30 years across the United States (n = 1328), the United Kingdom (n = 1225), and Mexico (n = 1120), we conducted exploratory (EFA) and confirmatory factor analyses (CFA), assessed convergent validity by examining associations of the standardized mean Man Box Scale score with violence perpetration, depression, and suicidal ideation, and assessed internal consistency reliability of the full scale. We used item response theory (IRT) to derive a 5-item short form, and conducted CFA and additional assessments for reliability and convergent validity. We identified a single underlying factor with 15 items across all three countries. CFA resulted in good model fit. We demonstrated significant associations of standardized mean Man Box Scale score with violence perpetration (OR range = 1.57-5.49), depression (OR range = 1.19-1.73), and suicidal ideation (OR range = 1.56-2.59). IRT resulted in a 5-item short form with good fit through CFA and convergent validity, and good internal consistency. The Man Box Scale assesses harmful masculinities and demonstrates strong validity and reliability across three diverse countries. This scale, either short or long forms, can be used in future prevention research, clinical assessment and decision-making, and intervention evaluations., Competing Interests: Declaration of competing interest The authors of no conflict of interest., (Copyright © 2020 Elsevier Inc. All rights reserved.)

UK national guidelines state deteriorating or at risk hospital ward patients should receive care from trained critical care outreach personnel. In most tertiary hospitals this involves a team led by an Intensive Care Unit (ICU) registrar. The ICU registrar must also review patients referred for possible ICU admission. These two responsibilities require work away from the ICU. To our knowledge the burden of this work has not been described, despite its importance in ICU workforce management and patient safety. A 12-month, prospective, observational study was carried out. The primary outcome measure was ICU registrar time spent on and off-unit. The study participants were senior and junior registrars on the rota of the 16 bed, Adult Intensive Care Unit at the John Radcliffe Hospital in Oxford. To measure their work patterns, this study used AeroScout 'T2' Real Time Location Device (RTLD) tags (Stanley Healthcare, Swindon). In our hospital, senior and junior ICU registrars spend roughly one-fifth of their time off-unit, half of which is spent in ED. This workload combines to leave the unit unattended at night up to 10% of the time. RTLDs provide a reliable, automated method for quantifying ICU registrar off-unit work patterns. This method may be adopted for quantifying other clinical staff work patterns in suitably equipped hospital environments.