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The present study examined the psychometric properties of the Coronavirus Anxiety Scale (CAS) using an online survey of 398 adult Amazon MTurk workers in the U.S. Confirmatory factor analyses demonstrated that the CAS measures a reliable (α = 0.92), unidimensional construct with a structure that was shown to be invariant across gender, race, and age. Construct validity was demonstrated with correlations between CAS scores and demographics, coronavirus diagnosis, history of anxiety, coronavirus fear, functional impairment, alcohol/drug coping, religious coping, hopelessness, suicidal ideation, as well as social attitudes (e.g., satisfaction with President Trump). The CAS also demonstrated solid discrimination ability for functional impairment (AUC =0.88), while the original cut score of ≥9 (76% sensitivity and 90% specificity) showed the strongest diagnostic effectiveness among scores. Overall, these findings are largely consistent with the results of the first CAS investigation and support the validity of this mental health screener for COVID-19 related research and practice.

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Bangladesh is now experiencing the COVID-19 outbreak; however, there has been minimal focus on mental health over physical health problems during this pandemic in Bangladesh. The present study was conducted using self-rated scales on a sample of 500 Bangladeshi people to address this gap. Results suggested two-fifths of the participants had depression and anxiety symptoms, and one-third were highly worried and felt stressed. Females, students, unmarried, and 18-30-year-olds were in more vulnerable positions in terms of their mental health. These findings would be helpful to assess and formulate psychological interventions to improve the mental health of vulnerable groups.