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Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

This study aims to assess the efficiency of Brazil, Russia, India, China, South Africa (BRICS) countries in achieving sustainable development by analyzing their ability to convert resources and technological innovations into sustainable outcomes.

Using data envelopment analysis (DEA), the study evaluates the economic, environmental and social efficiency of BRICS countries over the period 2010–2018. It ranks these countries based on their sustainable development performance and compares them to the period 2000–2007.

The study reveals varied efficiency levels among BRICS countries. Russia and South Africa lead in certain sustainable development aspects. South Africa excels in environmental sustainability, whereas Brazil is efficient in resource utilization for sustainable growth. China and India, despite economic growth, face challenges such as pollution and lower quality of life.

The study’s findings are constrained by the DEA methodology and the selection of variables. It highlights the need for more nuanced research incorporating recent global events such as the COVID-19 pandemic and geopolitical shifts.

Insights from this study can inform targeted and effective sustainability strategies in BRICS nations, focusing on areas such as industrial quality improvement, employment conditions and environmental policies.

The study underscores the importance of balancing economic growth with social and environmental considerations, highlighting the need for policies addressing inequality, poverty and environmental degradation.

This research provides a unique comparative analysis of BRICS countries’ sustainable development efficiency, challenging conventional perceptions and offering a new perspective on their progress.

This study aims to examine the following across a six-month period in post-graduate research (PGR) students: mental health and well-being; the effect of academic pressures on depression, anxiety and well-being; and the extent to which psychological resilience buffered against academic pressures.

This was a longitudinal questionnaire study with predictor variables of six types of academic pressure, outcome variables of depression, anxiety and well-being, and a moderator of resilience.

Well-being significantly worsened across the six-month timeframe, but levels of depression and anxiety remained relatively stable. Negative perceptions of academic challenges at baseline significantly predicted anxiety, but not depression or well-being, six months later. Negative appraisals of relationships with supervisors, other university staff and work peers were not predictors of anxiety. Social support resilience which was present at baseline buffered the relationship between perceived academic challenges and anxiety.

Higher education institutions have a duty of care towards PGR students, many of whom struggle with the escalating interactions between mental health problems and academic pressures. Actively nurturing psychological resilience related to social support is key at the level of individual students and the PGR community but more broadly at an institutional level.

To the best of the authors’ knowledge, this is the first study to examine the effects of negative perceptions of multiple facets of academic life on depression, anxiety and well-being longitudinally. Additionally, it is the first study to investigate, and demonstrate, the extent to which psychological resilience can lessen the relationship between academic challenges and anxiety over time.

This paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH) journals. In particular, it seeks to detect patterns in authors' countries of work and languages in co-authorship networks.

Through an in-depth co-authorship network analysis, this study analysed bibliometric data from three canonical DH journals over a range of 52 years (1966–2017). The results are presented as visualised networks with centrality calculations.

The results suggest that while DH scholars may not collaborate as frequently as those in other disciplines, when they do so their collaborations tend to be more international than in many Science and Engineering, and Social Sciences disciplines. DH authors in some countries (e.g. Spain, Finland, Australia, Canada, and the UK) have the highest international co-author rates, while others have high national co-author rates but low international rates (e.g. Japan, the USA, and France).

This study is the first DH co-authorship network study that explores the apparent connection between language and collaboration patterns in DH. It contributes to ongoing debates about diversity, representation, and multilingualism in DH and academic publishing more widely.

What factors trigger innovation adoption of heated tobacco products (HTPs) in an emerging economy? The study aims to integrate the diffusion of innovation and consumer resistance theory to develop a framework to measure the adoption of HTPs.

The study used a self-administered questionnaire, and the data was collected from 272 respondents. The study used the covariance-based structural equation modelling.

The findings suggest that relative advantage, compatibility, trialability, observability and perceived cost significantly affect innovation adoption of HTPs.

The study provides theoretical and practical implications for researchers and the tobacco industry.

The study, if not the only, is among the few in an emerging economy that explores heated tobacco products adoption by integrating the diffusion of innovation and consumer innovation resistance theory.

Few have studied the relationship between employment and health in the Medicaid population. The purpose of this study is to estimate the impact of job loss on the mental health of working Medicaid beneficiaries.

This study conducted a post hoc analysis of 1,538 adult Medicaid beneficiaries enrolled in a prospective cohort study. The authors matched participants who lost their job to participants who remained employed based on demographics, illness severity and social determinants of health. The authors estimated the effect of job loss on the odds of a diagnosis of depression and/or anxiety and self-reported mental health during a one-year follow-up period, stratified by prior history of depression and/or anxiety as documented in the Medicaid claims.

Among participants with no preexisting depression or anxiety, the incidence of depression or anxiety was 17% versus 7% (aOR = 2.85; 95% confidence interval (CI): 1.88 to 4.34) between those who lost versus kept their job, respectively, and the mean difference in self-reported mental health was −4.3 (95% CI: −6.02 to −2.58). Self-reported mental health was also poorer between those who lost versus kept their job among participants with preexisting depression and/or anxiety (x = −4.78 (95% CI: −8.90 to −0.66).

Limitations of this study are as follows: we may not have matched on all factors that influence retaining a job; we do not distinguish between involuntary and voluntary job loss; generalizability is limited; and employment information is based on self-report.

Our society should invest more resources into supporting low-wage workers such as Medicaid beneficiaries.

Active labor policies that connect people to jobs, help them retain their job and support skills training to secure a better quality job, could reduce health disparities in the Medicaid population.

Use of both claims and self-reported mental health information to evaluate the impact of job loss on working Medicaid beneficiaries.

The disparities of COVID-19 vaccination rates between the rural and urban areas have become apparent during this pandemic. There is a need to understand the root causes of vaccine hesitancy demonstrated by the rural population to increase coverage and to contain the disease spread throughout the United States. This study aimed to explore other factors influencing vaccine hesitancy among rural dwellers besides the geography-related barriers such as poor health care access and individuals having no or suboptimal insurance coverage.

By reviewing existing data and literature about vaccination, health literacy, and behaviors, and prevailing ideologies, we discuss the potential causes of vaccine hesitancy in rural areas that could create barriers for successful public health efforts related to vaccine coverage and provide suggestions to ameliorate the situation.

Geography-related barriers, health literacy, and preconceived notions are key determinants of adopting healthy behaviors and complying with public health authorities' recommendations among rural individuals during a public-health crisis. We argue that ideology, which is much deeper than preconception or misconception on vaccination, should be incorporated as a key factor to redefine the term “vulnerable populations” in public health research.

The limitation of our study is that we have not found an effective way to encourage the populations who hold conservative religious and political ideologies to join the efforts for public health. Even though geography-related barriers may strongly impact the rural dwellers in achieving optimal health, the various forms of ideologies they have toward certain health behaviors cannot be discounted to understand and address vaccine-related disparities in rural areas. There is a need to redefine the term “vulnerable population” particularly as it relates to rural areas in the United States. During large-scale public health disasters, scholars and public health authorities should consider the ideologies of individuals, in addition to other factors such as race/ethnicity, area of residence (rural vs. urban), and socioeconomic factors influencing the existing vulnerabilities and health disparities.

This study aimed to investigate the impact of a university’s abrupt closure on the lives of graduate students and examined the role of grit, social support and school identification as they transferred to a new institution.

An online survey was administered to a diverse sample of 130 psychology graduate students after their university unexpectedly closed and the students transferred to another institution to complete their degrees. The survey included both qualitative and quantitative measures of the impact on different areas of their lives, anxiety and depression, life satisfaction, social support, grit and school identification.

Students reported experiencing financial loss, family and marital strain, anger, fear, uncertainty and loss of progress toward professional goals. Nearly 40% of participants had scores indicating elevated anxiety and depression. Students with higher anxiety and depression and lower life satisfaction tended to identify less with their new institution. Both social support and grit were related to better adjustment and life satisfaction.

To the best of the authors’ knowledge, this is the first study to examine the impact on graduate students following the closure of an institution of higher education. The findings have implications for educational policy and graduate student support services.