Effects of brief training on mental health provider's knowledge of working with youth at risk of suicide in Guatemala

The Mining Method of Ideological and Political Elements in University Public Mental Health Courses Based on Artificial Intelligence Technology

Artificial intelligence technology has become an important part of the development of Internet technology. Artificial intelligence technology can help colleges and universities optimize the network ideological and political teaching system. Artificial intelligence technology provides more accurate data resources and rich and reliable educational technology means for online public mental health education in colleges and universities. This paper comprehensively uses a variety of methods such as qualitative and quantitative analysis, case and empirical analysis, literature analysis, and artificial intelligence technology. Artificial intelligence technology has been closely integrated with online public mental health education in colleges and universities. The model systematically analyzes the optimization methods of artificial intelligence technology methods for the online public mental health education system in colleges and universities, and constructs an innovation system for online public mental health education in colleges and universities. Based on the comprehensive analysis of artificial intelligence and public health in colleges and universities, this paper further proposes the application of artificial intelligence technology in online public mental health education in colleges and universities. On this basis, the model conducts an in-depth analysis of artificial intelligence technology and the online public mental health innovation system. The model supports the development of ideological and political teaching in colleges and universities through various forms such as idea innovation, path innovation, carrier innovation, and mechanism innovation.

COVID-19, violence, and mental health among Indigenous gay and bisexual men in Guatemala: An urgent call from key stakeholders

We explored how the COVID-19 pandemic has affected the health and wellbeing of Indigenous gay and bisexual men (GBM) in Guatemala, a group that experiences intersectional stigma and structural barriers to health. Between February and May 2021, we conducted in-depth qualitative interviews via Zoom with key stakeholders (n = 11) working with Indigenous GBM throughout Guatemala. We coded thematically and conducted narrative analysis to identify the most salient themes. Participants described that prior to the COVID-19 pandemic, many Indigenous GBM migrated to urban centres to avoid stigma and violence from families and rural communities. After the onset of COVID-19, many Indigenous GBM lost their jobs and were forced to move back in with families. For Indigenous GBM who returned, participants described a perceived increase in the severity of physical and psychological violence. Participants attributed this increase in severity to retribution from families and communities for having left. Most Indigenous GBM-serving organisations reported a drastic increase in demand for mental health services. Organisations serving Indigenous GBM have an urgent need to scale up their mental health services and find innovative ways to provide these services remotely during the pandemic and beyond. Technology-based mental health interventions that require little 'live' interaction may be appropriate.