Health and population

Health and population dynamics are intertwined, embodying an intricate relationship with significant implications on the Sustainable Development Goals (SDGs). Health is fundamentally at the center of these 17 global goals, aimed to transform the world by 2030. Specifically, Goal 3 endeavors to "Ensure healthy lives and promote well-being for all at all ages." It acknowledges that health is pivotal to human life quality, social cohesion, and sustainable development. Inextricably linked to this are the complexities of population dynamics, including growth rates, age structure, fertility and mortality rates, and migration patterns.

With the world's population projected to exceed 9.7 billion by 2050, the pressure on health systems will undoubtedly escalate. The demographic transition, with an aging population and an increasing prevalence of non-communicable diseases, poses new challenges for health systems globally. Additionally, areas with high fertility rates often overlap with extreme poverty, resulting in heightened health risks, including higher maternal and child mortality rates, malnutrition, and infectious diseases.

Moreover, rapid urbanization and migration present both opportunities and threats to health. While urban areas may provide better access to healthcare, they also harbor risks of disease transmission, air and water pollution, and social determinants of health like inadequate housing and social inequality. Simultaneously, migrants often face disproportionate health risks due to unstable living conditions, exploitation, and limited access to healthcare services.

Achieving the SDGs will necessitate comprehensive approaches that consider the intricate interplay of health and population dynamics. It means strengthening health systems, promoting universal health coverage, and addressing social determinants of health. It also implies crafting policies that recognize demographic realities and foster an environment conducive to sustainable development. Only by understanding and harnessing these dynamics can the world meaningfully progress towards realizing the SDGs, ensuring healthy lives and well-being for all.

This content supports the SDG Goal 3: Good health and well-being by presenting the antiviral strategies available to treat viral infections, those used to treat chronic viral hepatitis, and the mechanisms of action of drugs approved or at the developmental stage.
This content supports the SDG Goal 3: Good health and well-being by providing the current knowledge regarding standard therapy and suggestions based on the literature for AIH patients being nonresponders to standard therapy and difficult-to-manage AIH patients to standard therapy.
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 SDGs 3 and 10 by evaluating whether provision of a cash transfer to children and adolescents would improve their access to health and education resources, by removing financial barriers to these resources. The programme was successful in this regard; eg, beneficiaries were twice as likely as non-beneficiaries to use rehabilitation services and attend school.
This Viewpoint supprts SDG 3 by focusing on the health and wellbeing of people with disabilities in Europe and discussing inclusive health sectors, which could aid the protection of the human rights of people with disabilities and the promotion of their 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.
This Health Policy paper supports SDG 3 by analysing the current national action plans for antimicrobial resistance adopted by UN member states at the 2015 World Health Assembly; the authors identify gaps in key domains and highlight opportunities to facilitate sustainable delivery and operationalisation of national action plans.
Elsevier,

Current Developments in Nutrition, Volume 6, Issue 9, September 2022, nzac131

The authors of this paper offer a simple framework to stimulate thought and commitment to research on participation in community-based nutrition interventions and concludes that nutrition across various sectors and contexts is key to accomplishing SDG goal 2.
This Article supports SDGs 3 and 10 by assessing the socioeconomic inequalities in cancer across countries and over time in Europe.
Elsevier,

The Lancet, Volume 401, Issue 10375, 11–17 February 2023, Pages 486-502

This Series paper supports SDG 3 by examining how the marketing of commercial milk formula (CMF) comprehensively undermines access to objective information and support related to feeding of infants and young children, and contributes to reduced global breastfeeding practices by influencing normative beliefs, values, and political and business approaches to establish environments that favour CMF uptake and sales.

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