This content aligns with Goal 10: Reduced Inequalities by examining the intersection of racial/ethnic disparities and obesity and overweight prevalence among US children.

This content aligns with Goal 10: Reduced Inequalities by exploring how social factors such as access to housing, employment, education, and healthcare contributed to the inequitable impacts of COVID-19.

This chapter advances goals 3 and 5 by covering the unique health issues and vulnerabilities of women.

This review article advances goals 3, 5, and 10 by addressing inequity in care among pregnant women with asthma in underserved communities and examining potential interventions that may help improve health outcomes and standard of care.

Clean water resources are crucial for societies in order to maintain safety as well as social, ecological and economic progress. As the population grows, agricultural, domestic and industrial activities produce large amounts of wastewaters that can be treated and reused in variety of purposes considering circular economy philosophy. This review presents the challenges and future prospects of wastewater treatment using membrane technologies and is related to SDG 6: Clean water and sanitation.

This Article supports SDGs 3 and 16 by quantifying mortality risk after a dementia diagnosis, focusing specifically on differences across race and ethnicity. The authors discuss the implications for financial and health services planning, as well as quality of life.

This Viewpoint supports SDGs 3 and 16, focusing on the underlying causes of racial disparities in SARS-CoV-2 infections and outcomes.

This Viewpoint supports SDGs 3 and 16 by presenting a call to action to collect race-based performance data for medical professionals, focusing particularly on the Canadian context.

This Article supports SDGs 3 and 16 by measuring the rate of heart transplantation among Black and White waitlist candidates. The findings suggest that transplantation rates, as well as the rate of delisting for death or clinical deterioration, has worsened for Black candidates compared with White candidates, and that the causes for this disparity require further study.

This Article supports SDGs 3 and 16 by evaluating the ability of artificial intelligence to recognise a person's racial identity from medical images.