This Article supports SDGs 3 and 10 by assessing the socioeconomic inequalities in cancer across countries and over time in Europe.
This content aligns with Goal 3: Good Health and Wellbeing as well as Goal 10: Reduced Inequalities by recognizing the importance of addressing health needs across various life stages within the family unit, emphasizing the significance of equal rights and access to healthcare for women, children, and men. It underscores the role of family and community support in promoting health through factors such as nutrition, education, and social and mental well-being, contributing to the overall health and well-being of individuals. Additionally, the discussion of the impact of aging on both individuals and families highlights the need for comprehensive health and social support systems to address the challenges associated with aging, thereby promoting good health and well-being for all members of society. Furthermore, acknowledges the influence of social inequities, poverty, and other factors such as displacement and mass trauma on family health. By advocating for the reduction of poverty and the provision of social support systems, the content supports efforts to reduce inequalities in access to healthcare and promote equitable health outcomes for all members of society.
This content aligns with Goal 3: Good Health and Wellbeing as well as Goal 10: Reduced Inequalities by emphasizing the importance of technology assessment capability in shaping health policy and priorities to improve health outcomes and quality of life. By promoting strong professional education and practice standards, accreditation processes, and educational programs for public health, the content supports efforts to enhance the quality of healthcare services and public health interventions. Additionally, it aligns with Goal 10: Reduced Inequalities by recognizing the need to address disparities and ensure equitable access to evidence-based methods of prevention, diagnosis, and therapy. By advocating for continuous revision of legal frameworks and ethical standards in response to societal changes and emerging health challenges, the content underscores the importance of promoting fairness and equity in public health practices and policies. Moreover, it highlights the ethical imperative of public health interventions to protect populations from illness and premature death, thereby contributing to efforts aimed at reducing inequalities in health outcomes and promoting the well-being of all members of society.
For monitoring viral load (VL) or Early Infant Diagnosis (EID) of HIV-1, real-time Polymerase Chain Reaction (qPCR) is used to perform on plasma or Dried Blood Spot (DBS) sample. The qPCR method is expensive and requires sophisticated equipment. Therefore, there is a requirement for newer and cheaper technology for VL measurement or EID.
This falls along the themes of financial burden for cancer patients and discusses innovations and strategies for health care providers.
We observe the link between Artificial Intelligence (AI) and Sustainable Development Goals (SDGs). We use automated methodologies to find insights and overlaps between AI and the SDGs. AI-Ethics frameworks need to give more attention to Society and Environment areas. Inclusive action is needed to balance the efforts for solving SDGs by using AI.SDGs 13, 14, and 15 (all related to the Environment area) are not sufficiently addressed.
Study built over two decades of research on intimate parther violence and HIV. Sub-Saharan Africa has among the highest prevalence of intimate parthner violence (IPV) and HIV worldwide. The results of this very pooled analysis show that pwomen who had experienced physical or sexual IPV in the past year were 3·22 times as likely to acquire a recent HIV infection and women living with HIV who experienced physical or sexual IPV in the past year were 9% less likely to be virally suppressed
The study aims to investigate whether machine learning-based predictive models for cardiovascular disease (CVD) risk assessment show equivalent performance across demographic groups (such as race and gender) and if bias mitigation methods can reduce any bias present in the models. This is important as systematic bias may be introduced when collecting and preprocessing health data, which could affect the performance of the models on certain demographic sub-cohorts.
Emerging Practices in Telehealth: Best Practices in a Rapidly Changing Field, 2023, Pages 131-140
This chapter advances the UN SDG Goal 3: Good Health and Goal 10: Reduced Inequalities by hihglighting low to high technology options, telehealth platform training for support staff and providers, subsidized and improved budgets for telehealth, and improved reimbursement as vital steps to close the digital divide and improve health-care disparities.
This article looks at changes in stress levels and study habits during the COVID-19 pandemic across students at HBCUs.
