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The physical environment of correctional facilities promote infectious disease transmission and outbreaks. The purpose of this study is to compare the COVID-19 burden between the correctional facility (incarcerated individuals and staff members) and non-correctional facility population in Ontario during the COVID-19 pandemic.

All individuals in Ontario with a laboratory confirmation of SARS-CoV-2 between 15 January 2020 and 31 December 2022 and entered into the provincial COVID-19 data were included. Cases were classified as a correctional facility case (living or working in a correctional facility) or a non-correctional facility case. COVID-19 vaccination status was obtained from the provincial COVID-19 vaccine registry. Statistics Canada census data were used to calculate COVID-19 incidence and hospitalization rates for incarcerated cases and the non-correctional facility population.

Between 15 January 2020 and 31 December 2022, there were 1,550,045 COVID-19 cases in Ontario of which 8,292 (0.53%) cases were reported in correctional (63.8% amongst incarcerated individuals, 18.6% amongst staff and 17.7% amongst an unknown classification) and 1,541,753 (99.47%) were non-correctional facility cases. Most cases in correctional facilities were men (83.8%) and aged 20–59 years (93.1%). COVID-19 incidence and hospitalization rates were generally higher among incarcerated individuals compared to the non-correctional facility population throughout the study period. COVID-19 incidence peaked in January 2022 for both the correctional facility population (21,543.8 per 100,000 population) and the non-correctional facility population (1915.1 per 100,000 population). The rate of COVID-19 hospitalizations peaked for the correctional facility population aged 20–59 in March 2021 (70.7 per 100,000 population) and in April 2021 for the non-correctional facility population aged 20–59 (19.8 per 100,000 population). A greater percentage of incarcerated individuals (73.0%) were unvaccinated at time of their COVID-19 diagnosis compared to the non-correctional facility population (49.3%). Deaths amongst correctional facility cases were rare (0.1%, 6 / 8,292) compared to 1.0% of non-correctional facility cases (n = 15,787 / 1,541,753).

During the COVID-19 pandemic, individuals incarcerated in correctional facilities in Ontario had higher COVID-19 incidence and hospitalization rates compared to the non-correctional facility population. These results support prioritizing incarcerated individuals for public health interventions to mitigate COVID-19 impacts in correctional facilities.

The hoped-for “just recovery” from the COVID-19 pandemic has not occurred. This chapter examines socioeconomic disparities laid bare by the pandemic in the United States. They have left a marked impression, suggesting that the concept of “American exceptionalism” has negative as well as positive connotations especially when compared with other high-income countries. Strikingly, democracy is not delivering for many Americans, and yet that is not a new situation, as much scholarship shows. These findings challenge received wisdom about how this country is in the aggregate labeled “developed” when many Americans live in conditions similar to or worse than those the World Bank categorizes as “developing.” Against this background, the chapter assesses experiential learning models for engaging students on the SDGs to assess these disparities. While researching social justice gaps in Pittsburgh and Atlanta with Carnegie Mellon students, however, the lack of disaggregated data emerged as a human rights issue and major barrier to fulfilling the SDG principle to “leave no one behind” (LNOB). These findings suggest a paradigm shift is needed, using the SDGs to advance human rights, elevating socioeconomic rights, localizing issues, generating disaggregated data to drive policy recommendations, and scaling up the community of practice that is engaged in this paradigm shift. Field building these aspects of sustainable development has the possibility to positively shape policies, outcomes, and help this democracy actually deliver for all, not just for some. For the United States to lead and bolster human rights and democracy around the world, inequalities at home must be addressed.

Effective social inclusion of people from refugee backgrounds in host communities is vital to the success of their resettlement. This study focused on how an NGO-organised care-oriented programme may foster the social inclusion of migrant women from refugee backgrounds in Australia.

We looked at how the programme’s adoption of an ethics-of-care approach might affect migrant women’s social capital, hence social inclusion. About 55 migrant women from a regional city in Australia were recruited for the study, and quantitative and qualitative data were collected.

The study revealed that the NGO’s adoption of the care ethics and principles to design and implement the physical activity program significantly increased refugee migrant women’s bonding and bridging social capital, which in turn promoted their social inclusion in the host community.

This study highlights the importance of adopting care ethics and care practices to inform initiatives designed to promote the social inclusion of marginalised groups such as refugee migrant women settling in regional cities in Australia. It also emphasises the need for NGOs and other organisations supporting new migrant groups to focus on increasing opportunities for such community groups to develop bonding and bridging relationships with people within and outside their language groups or ethnicity.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

Healthcare organizations have been facing challenges due to high costs and low efficiency in health services. The growth of costs and losses caused by avoidable mistakes lead to the search for solutions, and Health Lean Management appears as a potential solution to help in solving service quality problems, as well as reducing risks. This study aims to analyse the state of the art in the literature centred on the Lean approach in the context of risk management in healthcare organizations, and to identify new research opportunities, highlighting possible lines of future research.

Following a systematic literature review approach, 51 papers were considered relevant for this research, and reviewed to explore the development of literature in this area.

Based on the results, five main research streams were identified: (1) risk management oriented towards patient safety; (2) risk management oriented towards employee safety; (3) importance of attitudes and behaviours in risk reduction projects; (4) Lean tools used in healthcare risk management and (5) Integration of approaches. Moreover, several shortcomings were identified in literature.

Identified shortcomings represent significant opportunities for further research development.