The COVID-19 Pandemic Seen from a Syndemic Perspective: The LGBTQIA2SP+ Community

Associations between the Self-Reported Likelihood of Receiving the COVID-19 Vaccine, Likelihood of Contracting COVID-19, Discrimination, and Anxiety/Depression by Sexual Orientation

There is limited evolving literature on COVID-19 vaccine uptake and its barriers among sexual minority populations (lesbian, gay, bisexual, transgender, and queer [LGBTQ]), despite their increased COVID-19 risk factors. We assessed the differences in intention to receive the COVID-19 vaccine by self-reported likelihood of contracting COVID-19, anxiety/depression, discrimination frequency, social distancing stress, and sociodemographic factors across sexual orientation. An online national cross-sectional survey was conducted in the United States between 13 May 2021, and 9 January 2022, among adults aged ≥18 (n = 5404). Sexual minority individuals had a lower intention of receiving the COVID-19 vaccine (65.62%) than heterosexual individuals (67.56%). Disaggregation by sexual orientation, however, showed that gay participants had a higher intention of COVID-19 vaccination (80.41%) and lesbian (62.63%), bisexual (64.08%), and non-heterosexual, non-LGB sexual minority (56.34%) respondents had lower intentions of receiving the COVID-19 vaccine than heterosexual respondents. Sexual orientation significantly moderated the association between the perceived likelihood of receiving the COVID-19 vaccine and the self-reported likelihood of contracting COVID-19, anxiety/depression symptoms, and discrimination. Our findings further underline the importance of improving vaccination efforts and access among sexual minority individuals and other vulnerable groups.

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

In the present paper, we will explore how artificial intelligence (AI) and big data analytics (BDA) can help address clinical public and global health needs in the Global South, leveraging and capitalizing on our experience with the "Africa-Canada Artificial Intelligence and Data Innovation Consortium" (ACADIC) Project in the Global South, and focusing on the ethical and regulatory challenges we had to face. "Clinical public health" can be defined as an interdisciplinary field, at the intersection of clinical medicine and public health, whilst "clinical global health" is the practice of clinical public health with a special focus on health issue management in resource-limited settings and contexts, including the Global South. As such, clinical public and global health represent vital approaches, instrumental in (i) applying a community/population perspective to clinical practice as well as a clinical lens to community/population health, (ii) identifying health needs both at the individual and community/population levels, (iii) systematically addressing the determinants of health, including the social and structural ones, (iv) reaching the goals of population's health and well-being, especially of socially vulnerable, underserved communities, (v) better coordinating and integrating the delivery of healthcare provisions, (vi) strengthening health promotion, health protection, and health equity, and (vii) closing gender inequality and other (ethnic and socio-economic) disparities and gaps. Clinical public and global health are called to respond to the more pressing healthcare needs and challenges of our contemporary society, for which AI and BDA can help unlock new options and perspectives. In the aftermath of the still ongoing COVID-19 pandemic, the future trend of AI and BDA in the healthcare field will be devoted to building a more healthy, resilient society, able to face several challenges arising from globally networked hyper-risks, including ageing, multimorbidity, chronic disease accumulation, and climate change.

Effects of Transcranial Pulse Stimulation (TPS) on Adults with Symptoms of Depression-A Pilot Randomized Controlled Trial

Transcranial pulse stimulation (TPS) is a recent development in non-invasive brain stimulations (NIBS) that has been proven to be effective in terms of significantly improving Alzheimer patients' cognition, memory, and execution functions. Nonetheless, there is, currently, no trial evaluating the efficacy of TPS on adults with major depression disorder (MDD) nationwide. In this single-blinded, randomized controlled trial, a 2-week TPS treatment comprising six 30 min TPS sessions were administered to participants. Participants were randomized into either the TPS group or the Waitlist Control (WC) group, stratified by gender and age according to a 1:1 ratio. Our primary outcome was evaluated by the Hamilton depression rating scale-17 (HDRS-17). We recruited 30 participants that were aged between 18 and 54 years, predominantly female (73%), and ethnic Chinese from 1 August to 31 October 2021. Moreover, there was a significant group x time interaction (F(1, 28) = 18.8, p < 0.001). Further, when compared with the WC group, there was a significant reduction in the depressive symptom severity in the TPS group (mean difference = -6.60, p = 0.02, and Cohen's d = -0.93). The results showed a significant intervention effect; in addition, the effect was large and sustainable at the 3-month follow-up. In this trial, it was found that TPS is effective in reducing depressive symptoms among adults with MDD.

A Scoping Review on COVID-19 Vaccine Hesitancy among the Lesbian, Gay, Bisexual, Transgender, Queer, Intersex and Asexual (LGBTQIA+) Community and Factors Fostering Its Refusal

BACKGROUND

The ramifications of the existing crisis caused by the coronavirus pandemic are sensed in all walks of life. Among the various efforts made to curb the spread of this novel infection, the development of COVID-19 vaccines had a profound role in flattening the pandemic curve. Even though the rapid vaccine drive received a highly welcoming response among people, the reluctance and ignorance of a part of the population towards available safe vaccines stand as impediments to achieving the desired outcome. The LGBTQIA+ (Lesbian, Gay, Bisexual, Transgender, Queer, Intersex and Asexual) communities are the least studied groups in this regard.

OBJECTIVE

The purpose of this study is to extensively review and report on COVID-19 vaccine uptake and refusal among the LGBTQIA+ population and enumerate the factors contributing to vaccine hesitancy. The study extends further to outline a conceptual framework for interventions to enhance COVID-19 vaccine acceptance among the LGBTQIA+ population.

METHODS

We performed a systematic search using key terms on Google Scholar and PubMed. The obtained results were filtered using the eligibility criteria framed for this study. The initial search provided an extensive result of 4510 articles which were later screened at various levels to arrive at the final inclusive collection of manuscripts adding to 17. The studies were analyzed by the authors individually, and the data were categorized using variables. The results are interpreted using charts and graphs. The whole manuscript has been structured in accordance with the PRISMA extension for scoping reviews.

RESULT

The comprehensive search yielded 17 eligible articles for this review. Most of the studies were conducted in the United States (n = 17), and predominantly cross-sectional studies have been conducted. The major comparative factor was the HIV status of the LGBTQIA+ population. HIV-affected patients were more willing to take up COVID-19 vaccination. However, social stigma, discrimination, lack of access and non-prioritization in vaccine drives were found to be the major factors contributing to vaccine hesitancy among this population.

CONCLUSION

The invention of the COVID-19 vaccination revolutionized the healthcare systems burdened with COVID-19. Although this is a breakthrough scientific contribution, many factors are associated with the rate of vaccine acceptance, especially among sexual and gender minorities. The reviewed studies have revealed numerous factors that influence vaccine uptake and refusal with the commonest being concerns on discrimination, social stigma, inequitable access to healthcare, vaccine safety, efficacy, potency, side effects and lack of trust in medical workers. These impediments in vaccine coverage should be meticulously addressed to ensure optimum LGBTQIA+ physical and mental health as well as for providing non-discriminative, equitable and quality healthcare service regardless of the gender or sexual orientation of individuals.

Ensuring equitable, inclusive and meaningful gender identity- and sexual orientation-related data collection in the healthcare sector: insights from a critical, pragmatic systematic review of the literature

In several countries, no gender identity- and sexual orientation-related data is routinely collected, if not for specific health or administrative/social purposes. Implementing and ensuring equitable and inclusive socio-demographic data collection is of paramount importance, given that the LGBTI community suffers from a disproportionate burden in terms of both communicable and non-communicable diseases. To the best of the authors' knowledge, there exists no systematic review addressing the methods that can be implemented in capturing gender identity- and sexual orientation-related data in the healthcare sector. A systematic literature review was conducted for filling in this gap of knowledge. Twenty-three articles were retained and analysed: two focussed on self-reported data, two on structured/semi-structured data, seven on text-mining, natural language processing, and other emerging artificial intelligence-based techniques, two on challenges in capturing sexual and gender-diverse populations, eight on the willingness to disclose gender identity and sexual orientation, and, finally, two on integrating structured and unstructured data. Our systematic literature review found that, despite the importance of collecting gender identity- and sexual orientation-related data and its increasing societal acceptance from the LGBTI community, several issues have to be addressed yet. Transgender, non-binary identities, and also intersex individuals remain often invisible and marginalized. In the last decades, there has been an increasing adoption of structured data. However, exploiting unstructured data seems to overperform in identifying LGBTI members, especially integrating structured and unstructured data. Self-declared/self-perceived/self-disclosed definitions, while being respectful of one's perception, may not completely be aligned with sexual behaviours and activities. Incorporating different levels of information (biological, socio-demographic, behavioural, and clinical) would enable overcoming this pitfall. A shift from a rigid/static nomenclature towards a more nuanced, dynamic, 'fuzzy' concept of a 'computable phenotype' has been proposed in the literature to capture the complexity of sexual identities and trajectories. On the other hand, excessive fragmentation has to be avoided considering that: (i) a full list of options including all gender identities and sexual orientations will never be available; (ii) these options should be easily understood by the general population, and (iii) these options should be consistent in such a way that can be compared among various studies and surveys. Only in this way, data collection can be clinically meaningful: that is to say, to impact clinical outcomes at the individual and population level, and to promote further research in the field.