Health and wellbeing

Health and well-being have a central role in the 17 Sustainable Development Goals (SDGs) endorsed by the United Nations, emphasizing the integral part they play in building a sustainable future. The third SDG explicitly calls for ensuring healthy lives and promoting well-being for all at all ages. This goal encompasses a wide range of health objectives, from reducing maternal and child mortality rates, combatting disease epidemics, to improving mental health and well-being. But beyond SDG 3, health is intrinsically linked with almost all the other goals.

When addressing SDG 1, which aims to end poverty, one cannot neglect the social determinants of health. Economic hardship often translates into poor nutrition, inadequate housing, and limited access to health care, leading to a vicious cycle of poverty and poor health. Similarly, achieving SDG 2, ending hunger, also contributes to better health through adequate nutrition, essential for physical and mental development and the prevention of various diseases.

Conversely, the repercussions of climate change, encapsulated in SDG 13, profoundly impact health. Rising global temperatures can lead to increased spread of infectious diseases, compromised food and water supplies, and increased frequency and intensity of extreme weather events, all posing severe health risks. Conversely, the promotion of good health can also mitigate climate change through the reduction of carbon-intensive lifestyles and adoption of healthier, more sustainable behaviors.

SDG 5, advocating for gender equality, also has substantial health implications. Ensuring women's access to sexual and reproductive health services not only improves their health outcomes, but also contributes to societal and economic development. Furthermore, achieving SDG 4, quality education, is also critical for health promotion. Education fosters health literacy, empowering individuals to make informed health decisions, hence improving overall community health.

Lastly, SDG 17 underlines the importance of partnerships for achieving these goals. Multi-sector collaboration is vital to integrate health considerations into all policies and practices. Stakeholders from various sectors, including health, education, agriculture, finance, and urban planning, need to align their efforts in creating sustainable environments that foster health and well-being.

Hence, the relationship between health, well-being, and the SDGs is reciprocal. Improving health and well-being helps in achieving sustainable development, and vice versa. In this context, health and well-being are not just outcomes but are also powerful enablers of sustainable development. For the world to truly thrive, it must recognize and act upon these interconnections.

Elsevier,

Clinical Decision Support and Beyond (Third Edition): Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, 2023, Pages 715-725

This chapter advances the UN SDG Goal 3: Good Health and Goal 10: Reduced Inequalities by discussing the components of a technical infrastructure to support PHM, including data sources (registries, electronic health records), data analytics tools, patient outreach and engagement tools, and patient tracking dashboards along with real-world examples of PHM programs focused on chronic disease management, genetic testing for hereditary cancers, colorectal cancer screening, COVID-19 testing and vaccination, and tobacco cessation.
The paper looks at the developments on some poorly performing districts on SDGs in India to take stock of how far the country is from their national targets.
The Internet of Things (IoT) has revolutionized the traditional healthcare systems into intelligent system by allowing remote access and continuous monitoring of patient data. Specifically, first a novel scalable blockchain architecture is proposed to ensure data integrity and secure data transmission by leveraging Zero Knowledge Proof (ZKP) mechanism. Then, BDSDT integrates with the off-chain storage InterPlanetary File System (IPFS) to address difficulties with data storage costs and with an Ethereum smart contract to address data security issues.
This study provides new insight into the evolution of influx assessment employing concurrent sampling in large-sized rivers.
Noise and air pollution coexist in many urban/industrial environments, and therefore should be studied using co-exposure models. This study indicates that by investigating one individual stressor at a time, we may significantly underestimate the health risks since noise and air pollution have apparent additive health effects on the cardiovascular system and the brain. The study findings are strongly suggestive of additive/synergistic adverse cardiovascular health effects by environmental stressors that typically co-occur in large cities and urban/industrial settings, with a significant contribution to the disease burden and health care costs that may even exceed the most pessimistic scenarios.
Evaluating the bias and fairness of ML models has drawn much attention in the machine learning and statistics community. Researchers have proposed methods to assess and mitigate the bias for various applications that could adversely affect underrepresented groups, like recidivism prediction, credit risk prediction, and income prediction.
This Article supports SDG 3 by assessing the incidence of HCV infection among people with HIV, during different periods statified by level of access to direct-acting antiviral therapy for HCV. Broader access to this treatment was associated, through a "treatment as prevention" effect, with lower incidence of HCV infection - approximately 50% lower in the period of broad access to the treatment compared with the period before access to the treatment.
Elsevier,

The Lancet Psychiatry,
Volume 10, Issue 3,
2023,
Pages 220-227,
ISSN 2215-0366

Health for All must include representation of people with lived experience in the research underlying health care: this paper describes a first-person experience of this in mental health.
Elsevier,

Computational Modeling of Infectious Disease: With Applications in Python, 2023, Pages 93-119

This chapter advances the UN SDG Goal 3: Good Health and Well-Being by exploring the mathematical modeling and host factor models that seek to explain the pathogenic dynamics, where there are meaningful differences in the way different populations transmit disease (β differences), recover from disease (γ differences), or in some other clinically meaningful factor.
Elsevier,

Journal of Affective Disorders,
Volume 327,
2023

This article ties to SDG 3. This study assesses the new Prolonged Grief Disorder International Classification of Diseases criteria in a large international sample of bereaved adults to test global applicability.

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