Sources of anxiety among health care workers in Tehran during the COVID-19 pandemic.

By applying multivariate regression to 2020 survey data from four Tehran hospitals, we measure eight recognized sources of Coronavirus disease 2019 (COVID-19) pandemic-related anxiety among 723 healthcare workers (HCWs) with diverse sociodemographic characteristics employed across different hospital areas and positions. The most prominent anxiety source identified is the risk of workplace COVID-19 contraction and transmission to family, followed by uncertainty about organizational support for personal and family needs in the event of worker infection. A supplemental qualitative analysis of 68 respondents in the largest hospital identifies four additional anxiety sources, namely, health, finances, workload, and leadership. This evidence of the multifaceted nature of anxiety sources among HCWs highlights the differentiated approaches that hospital policymakers must take to combat anxiety.

The Long-Term Cognitive and Schooling Effects of Childhood Vaccinations in China

By exploiting rich retrospective data on childhood immunization, socioeconomics, and health status in China (the China Health and Retirement Longitudinal Study), we assess the long-term effects of childhood vaccination on cognitive and educational outcomes in that country. To do so, we apply various techniques (e.g., propensity score and coarsened exact matching and correlated random effects) to different sets of conditioning variables and subsamples to estimate the average treatment on the treated effect of childhood vaccination. Our results confirm that vaccinations before the age of 15 have long-term positive and economically meaningful effects on nonhealth outcomes such as education and cognitive skills. These effects are relatively strong, with vaccinated individuals enjoying about one more year of schooling and performing substantially better later in life on several cognitive tests.

"The better you feel, the harder you fall": Health perception biases and mental health among Chinese adults during the COVID-19 pandemic.

The health risks of the current COVID-19 pandemic, together with the drastic mitigation measures taken in many affected nations, pose an obvious threat to public mental health. To assess predictors of poor mental health in the context of the COVID-19 pandemic, this study first implements survey-based measures of health perception biases among Chinese adults during the pandemic. Then, it analyzes their relation to three mental health outcomes: life satisfaction, happiness, and depression (as measured by the CES-D). We show that the health overconfidence displayed by approximately 30% of the survey respondents is a clear risk factor for mental health problems; it is a statistically significant predictor of depression and low levels of happiness and life satisfaction. We also document that these effects are stronger in regions that experienced higher numbers of confirmed COVID-19 cases and deaths. Our results offer clear guidelines for the implementation of effective interventions to temper health overconfidence, particularly in uncontrollable situations like the COVID-19 pandemic.