Mental health of Australian frontline nurses during the COVID-19 pandemic: Results of a large national survey.

This paper investigates the effects of work demands on burnout indices of emotional exhaustion, depersonalization and personal accomplishment, and mental health indices of anxiety, depression and stress, among Australian nurses and midwives. We used de-identified self-reported survey data from approximately 11,000 Australian nurses and midwives during the pandemic. Linear and quantile regression analyses explored how working conditions affect different aspects of nurses and midwives' burnout and mental health.

The effect of actual and expected income shocks on mental wellbeing: Evidence from three East Asian countries during COVID-19.

This paper evaluates the effects of economic shocks to current and expected income reduction on mental wellbeing. We use individual-level data from three East Asian countries; China, Japan, and South Korea, during the early phases of the pandemic when the COVID-induced economic shocks were severe. The findings reveal significant causal effects from current and expected income reduction on different aspects of mental health deterioration, including anxiety, trouble sleeping, boredom, and loneliness.

Job loss and mental disorders: International evidence from the early stages of COVID-19 outbreak.

Using a rich individual level dataset from six countries, we examine the relationship between job loss and mental disorders during the first phase of the COVID-19 pandemic. We consider four indicators of mental disorders based on their severity, viz. anxiety, insomnia, boredom, and loneliness.

The effect of nonpharmaceutical interventions on COVID-19 infections for lower and middle-income countries: A debiased LASSO approach.

This paper investigates the determinants of COVID-19 infection in the first 100 days of government actions. Using a debiased LASSO estimator, we explore how different measures of government nonpharmaceutical interventions affect new infections of COVID-19 for 37 lower and middle-income countries (LMCs). We find that closing schools, stay-at-home restrictions, and contact tracing reduce the growth of new infections, as do economic support to households and the number of health care workers.