Women's Substance Use and Mental Health During the COVID-19 Pandemic.

PURPOSE: Women are experiencing greater unemployment and increased stress from childcare responsibilities than men during the COVID-19 pandemic. Women with these experiences may be at particular risk for mental illness and increased substance use during the COVID-19 pandemic. The purpose of the study was to assess women's substance use, mental health, and experiences of COVID-19 pandemic impacts. METHODS: A national online survey was administered to adult women from September to November 2020. The survey included questionnaires assessing mental health, loneliness, intolerance for uncertainty, social support, substance use, and intimate partner violence (IPV). RESULTS: A total of 499 women responded; most were White, college educated, and in their mid-30s. Of the 20.24% who acknowledged at least one IPV problem, 29.7% stated that their IPV problems have gotten worse since the pandemic began, and 16.83% said that they have increased their drug or alcohol use to cope with their relationship problems. Anxiety, perceived daily impact of COVID-19, and lower self-efficacy were significant predictors of COVID-19 anxiety. Those with risky alcohol use had significantly higher anxiety (p = .028) and depression (p = .032) than those with low-risk alcohol use. CONCLUSIONS: Greater anxiety about COVID-19, greater reported changes in daily life due to the pandemic, and high-risk alcohol use are related to greater mental health-related distress among women. For some, IPV has gotten worse during the pandemic and drug or alcohol use is a coping mechanism.

Bots and Misinformation Spread on Social Media: Implications for COVID-19.

As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially, so did its media coverage, resulting in a proliferation of conflicting information on social media platforms-a so-called "infodemic." In this viewpoint, we survey past literature investigating the role of automated accounts, or "bots," in spreading such misinformation, drawing connections to the COVID-19 pandemic. We also review strategies used by bots to spread (mis)information and examine the potential origins of bots. We conclude by conducting and presenting a secondary analysis of data sets of known bots in which we find that up to 66% of bots are discussing COVID-19. The proliferation of COVID-19 (mis)information by bots, coupled with human susceptibility to believing and sharing misinformation, may well impact the course of the pandemic.