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Background: Although many people infected with SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2) experience no or mild symptoms, some individuals can develop severe illness and may die, particularly older people and those with underlying medical problems. Providing evidence-based interventions to prevent SARS-CoV-2 infection has become more urgent with the spread of more infectious SARS-CoV-2 variants of concern (VoC), and the potential psychological toll imposed by the coronavirus disease 2019 (COVID-19) pandemic. Controlling exposures to occupational hazards is the fundamental method of protecting workers. When it comes to the transmission of viruses, such as SARS-CoV-2, workplaces should first consider control measures that can potentially have the most significant impact. According to the hierarchy of controls, one should first consider elimination (and substitution), then engineering controls, administrative controls, and lastly, personal protective equipment (PPE). Objectives: To assess the benefits and harms of interventions in non-healthcare-related workplaces to reduce the risk of SARS-CoV-2 infection relative to other interventions, or no intervention. Search methods: We searched MEDLINE, Embase, Web of Science, Cochrane COVID-19 Study Register, the Canadian Centre for Occupational Health and Safety (CCOHS), Clinicaltrials.gov, and the International Clinical Trials Registry Platform to 14 September 2021. We will conduct an update of this review in six months. Selection criteria: We included randomised control trials (RCT) and planned to include non-randomised studies of interventions. We included adult workers, both those who come into close contact with clients or customers (e.g. public-facing employees, such as cashiers or taxi drivers), and those who do not, but who could be infected by co-workers. We excluded studies involving healthcare workers. We included any intervention to prevent or reduce workers' exposure to SARS-CoV-2 in the workplace, defining categories of intervention according to the hierarchy of hazard controls, i.e. elimination; engineering controls; administrative controls; personal protective equipment. Data collection and analysis: We used standard Cochrane methods. Our primary outcomes were incidence rate of SARS-CoV-2 infection (or other respiratory viruses), SARS-CoV-2-related mortality, adverse events, and absenteeism from work. Our secondary outcomes were all-cause mortality, quality of life, hospitalisation, and uptake, acceptability, or adherence to strategies. We used the Cochrane RoB 2 tool to assess the risk of bias, and GRADE methods to assess the certainty of evidence for each outcome. Main results: Elimination of exposure interventions. We included one study examining an intervention that focused on elimination of hazards. This study is an open-label, cluster-randomised, non-inferiority trial, conducted in England in 2021. The study compared standard 10-day self-isolation after contact with an infected person to a new strategy of daily rapid antigen testing and staying at work if the test is negative (test-based attendance). The trialists hypothesised that this would lead to a similar rate of infections, but lower COVID-related absence. Staff (N = 11,798) working at 76 schools were assigned to standard isolation, and staff (N = 12,229) at 86 schools to the test-based attendance strategy. The results between test-based attendance and standard 10-day self-isolation were inconclusive for the rate of symptomatic PCR-positive SARS-COV-2 infection rate ratio ((RR) 1.28, 95% confidence interval (CI) 0.74 to 2.21; 1 study, very low-certainty evidence)). The results between test-based attendance and standard 10-day self-isolation were inconclusive for the rate of any PCR-positive SARS-COV-2 infection (RR 1.35, 95% CI 0.82 to 2.21; 1 study, very low-certainty evidence). COVID-related absenteeism rates were 3704 absence days in 566,502 days-at-risk (6.5 per 1000 days at risk) in the control group and 2932 per 539,805 days-at-risk (5.4 per 1000 days at risk) in the intervention group (RR 0.83; 95% CI 0.55 to 1.25). The certainty of the evidence was downgraded to low, due to imprecision. Uptake of the intervention was 71 % in the intervention group, but not reported for the control intervention. The trial did not measure other outcomes, SARS-CoV-2-related mortality, adverse events, all-cause mortality, quality of life, and hospitalisation. We found one ongoing RCT about screening in schools, using elimination of hazard strategies. Personal protective equipment. We found one ongoing non-randomised study on the effects of closed face shields to prevent COVID-19 transmission. Other intervention categories. We did not find studies in the other intervention categories. Authors' conclusions: We are uncertain whether a test-based attendance policy affects rates of PCR-postive SARS-CoV-2 infection (any infection; symptomatic infection) compared to standard 10-day self-isolation amongst school and college staff. Test-based attendance policy may result in little to no difference in absence rates compared to standard 10-day self-isolation. As a large part of the population is exposed in the case of a pandemic, an apparently small relative effect that would not be worthwhile from the individual perspective may still affect many people, and thus, become an important absolute effect from the enterprise or societal perspective. The included study did not report on any other primary outcomes of our review, i.e. SARS-CoV-2-related mortality and adverse events. No completed studies were identified on any other interventions specified in this review, but two eligible studies are ongoing. More controlled studies are needed on testing and isolation strategies, and working from home, as these have important implications for work organisations.

Persons with SARS-CoV2 can be contagious with few or no symptoms. They can infect others in private, during education or work without knowing it. Few so-called super-propagators can thus initiate clusters of infections and chains of transmission. Isolation of new cases and quarantine of their contacts (forward contact tracing) often does not uncover such situations. Adding detailed backward investigations of events and places with elevated risk of transmission can increase the identification of potentially infected persons. These can then be quarantined, and chains of transmission be interrupted. We describe the principles and challenges of cluster investigation, epidemiological methods and IT tools that we deve loped at the Centre for contact tracing, Vaud. Knowledge of this method is useful in general clinical practice during a pandemic.

Objective: As alcohol is often consumed for social purposes, we aimed to explore how restrictions during the first Danish COVID-19 lockdown affected the alcohol use among adolescents aged 15–20. Method: In May 2020, 11,596 15- to 20-year-olds from two subpopulations answered a survey regarding their alcohol use and social life, as well as changes to these, during the Danish lockdown. Using survey data from all participants, we performed a multinomial logistic regression to assess the association between determinants of alcohol use and perceived change in alcohol use during the Danish lockdown. We used longitudinal data from one subpopulation ( n=1869) to perform negative binomial regressions exploring changes in frequency of alcohol use from 2019 to 2020. Results: Of all participants, 59% drank less, 75% had fewer in-person social interactions and 56% met more frequently online during lockdown. Girls were more likely than boys to have a perceived decrease in alcohol use during lockdown (odds ratio (OR)=1.41; 95% confidence interval (CI) 1.27–1.56). A perceived decrease in in-person social interaction during lockdown was associated with less drinking (OR=2.27; 95% CI 1.98–2.61), while a perceived increase in in-person social interaction during lockdown was associated with more drinking (OR=1.42; 95% CI 1.11–1.82) compared to unchanged drinking behaviour and social interaction. Conclusions: Adolescents in Denmark drank less during the Danish lockdown than before. Findings indicate that there is a close relationship between in-person social interactions and frequency of drinking. Drinking episodes when meeting online were rare and were not unambiguously associated with changes in drinking during lockdown.

AbstractSince the beginning of the coronavirus disease (COVID)-19 pandemic, the need for effective treatments for COVID-19 led to the idea of “repurposing” drugs for antiviral treatment. Several antipsychotics and antidepressants have been tested for in vitro activity against the severe acute respiratory syndrome coronavirus 2. Chlorpromazine, other phenothiazine antipsychotics, and the antidepressant fluoxetine were found to be rather potent in these studies. However, whether effective plasma concentrations can be obtained with clinically accepted doses of these drugs is not clear. Data of COVID-19 patients are not yet available but several clinical studies are currently underway.The specific serotonin reuptake inhibitor fluvoxamine is a potent Sigma-1 receptor agonist and reduces inflammation in animal models of cytokine-stress. Accordingly, fluvoxamine treatment was superior to placebo in reducing impaired respiratory function and other symptoms of inflammation in COVID-19 patients in a placebo-controlled clinical study and another open clinical trial. The beneficial effects of fluvoxamine on the course of COVID-19 were recently confirmed in a large placebo-controlled double-blind trial with several hundred patients.Inflammation represents a major risk factor for many psychiatric disorders which explains the high susceptibilitiy of COVID-19 patients for psychiatric diseases. Many antidepressants and antipsychotics possess anti-inflammatory properties independent of sigma-1 activity which might be important to reduce psychiatric symptoms of COVID-19 patients and to improve respiratory dysfunction and other consequences of inflammation. This might explain the rather unspecific benefit which has been reported for several cohorts of COVID-19 patients treated with different psychotropic drugs.

The approach of this chapter is polemical in nature, reflecting the very fluid situation that lies ahead for orchestras post COVID-19. The chapter has three main academic research objectives. First, to put the current debate in context, it looks at the key challenges that orchestras have faced since the turn of the last century and in what way COVID-19 posed new problems that impacted orchestral music. The second objective is to outline some special short-term measures introduced to mitigate the impact of COVID-19, namely: (i) the income-support measures needed to sustain orchestras; and (ii) the extent to which orchestras could come together and practice, and in fact perform, even if only in front of no or very limited live audiences. The third objective is to discuss what possibly lies ahead for live orchestral music, post-COVID-19, and in a rapidly changing world regarding technological advances in the production and consumption of orchestral music. To inform this discussion, some broad trends in the ‘consumption’ of orchestral music over time, particularly in terms of numbers attending live concerts and revenues from streamed concerts, are examined.

This paper analyzes single and two-wave COVID-19 outbreaks using two novel hybrid models, which combine machine learning and statistical methods with Richards growth models, to simulate and forecast the spread of the infection. For this purpose, historical cumulative numbers of confirmed cases for three countries, including Iran, Italy, and Mexico, are used. The analysis of the Richards models shows that its single-stage form can model the cumulative number of infections in countries with a single wave of outbreak (Italy and Mexico) accurately while its performance deteriorates for countries with two-wave outbreaks (Iran), which clarifies the requirement of multi-stage Richards models. The results of multi-stage Richards models reveal that the prevention of the second wave could reduce the outbreak size in Iran by approximately 400,000 cases, and the pandemic could be controlled almost 7 months earlier. Although the cumulative size of outbreak is estimated accurately using multi-stage Richards models, the results show that these models cannot forecast the daily number of cases, which are important for health systems’ planning. Therefore, two novel hybrid models, including autoregressive integrated moving average (ARIMA)-Richards and nonlinear autoregressive neural network (NAR)-Richards, are proposed. The accuracy of these models in forecasting the number of daily cases for 14 days ahead is calculated using the test data set shows that forecast error ranges from 8 to 25%. A comparison between these hybrid models also shows that the machine learning-based models have superior performance compared with statistical-based ones and on average are 20% more accurate.

Abstract Objectives To assess depression, anxiety and stress among undergraduate nursing and midwifery students during the COVID-19 pandemic, and identify socio-demographic and educational characteristics associated with higher depression, anxiety and stress scores. Methods Cross-sectional study during August–September 2020, using an anonymous, online, self-administered survey. E-mail invitations with a survey link were sent to 2,907 students enrolled in the Bachelor of Nursing suite of courses, offered across four campuses of a single university in Victoria, Australia. Depression, anxiety and stress were assessed using the DASS-21. Data on socio-demographic and educational characteristics, self-rated physical health and exposure to COVID-19 were also collected. DASS-21 subscale scores were compared with existing data for various pre-pandemic and COVID-19 samples. Multiple regression was used to investigate factors associated with higher scores on depression, anxiety and stress subscales. Results The response rate was 22% (n=638). Mean scores on all DASS-21 subscales were significantly higher (p<0.001) than means from all comparative sample data. The proportions of students reporting moderate to severe symptoms of depression, anxiety and stress were 48.5%, 37.2% and 40.2% respectively. Being a woman, being younger, having completed more years of study and having poorer self-rated general health were all significantly associated (p<0.05) with higher scores on at least one DASS-21 subscale. Conclusions Almost half of participants reported at least moderate symptoms of depression; more than a third reported at least moderate symptoms of anxiety or stress. Poor psychological wellbeing can impact students’ successful completion of their studies and therefore, has implications for nursing and midwifery workforce recruitment and retention. During and after pandemics, universities should consider screening undergraduate students not only for anxiety and stress, but also for depression. Clear, low-cost referral pathways should be available, should screening indicate that further diagnosis or treatment is required.

We read with interest a consensus statement of the ScotCap clinical leads collaboration reported by Macleod et al. on the use of Computer Tomography Colonography (CTC) and Colon Capsule Endoscopy (CCE) as promoted diagnostic modalities in the Covid-19 era and how to deal with diminutive and small polyps with a 'realistic medicine' approach (1). The issues discussed are important, and the suggestions made are essential to improve healthcare provision for patients, doctors, hospitals, and society. The number needed to colonoscope to find one significant neoplastic lesion has increased dramatically in recent years - in Denmark more than 4-fold in 15 years, whereas the number of cancers diagnosed has increased very modestly (20-30% in 15 years). In Europe alone, more than 12m colonoscopies are performed each year. Complications are primarily associated with therapeutic optical colonoscopies (OC); significant complications (bleeding, perforation and polypectomy syndrome) are seen in 0.7% and adding up to over 400.000 cases yearly (2).