scholarly journals Public health nutrition and genetics: implications for nutrition policy and promotion

2004 ◽  
Vol 63 (1) ◽  
pp. 173-185 ◽  
Author(s):  
Ian Darnton-Hill ◽  
Barrie Margetts ◽  
Richard Deckelbaum
Keyword(s):  
Public Health ◽  
Genetic Manipulation ◽  
Screening Tests ◽  
World Population ◽  
Ethical Challenges ◽  
Public Health Nutrition ◽  
Dietary Interventions ◽  
Global Food Security ◽  
Complex Interactions ◽  
Health Applications

The unravelling of the human genome has the potential to radically extend many of the strategies used in public health nutrition to improve health and to increase food availability, accessibility and utilization. The present paper divides nutrigenomics into two broad but differing areas in asking about possible public health applications: (1) the increasing mismatch between population growth and global food security, on top of the already approximately 800 million of the world population who are food insecure; (2) possible responses to the rising prevalence of non-communicable diseases as the Western diet becomes increasingly inappropriate to the needs of those consuming it. It is clear that complex interactions of multiple polymorphisms play a role in how individuals and sub-populations respond to dietary interventions. All these applications present public health and ethical challenges, particularly in ensuring that any benefits that do come from nutrigenomics are not restricted to the wealthy minority of only the affluent nations. The present paper concludes that the public health applications of nutrigenomics are probably at least a decade away, especially for developing countries. Clinical applications are likely to be more immediate, probably resulting in ‘designer diets’ for individuals with particular polymorphisms, but unless governments take on the role of ensuring some extent of equity in access, any benefits are most likely to go to those who can afford the screening, tests and treatment. At the same time, greatly increased international efforts are needed towards the continuing, and in some cases worsening, global malnutrition, as genetic manipulation of crops is unlikely to provide more than part of the solution.

HIV surveillance and research for migrant populations: a protocol integrating respondent-driven sampling, case finding, and medicolegal services for Venezuelans living in Colombia (Preprint)

2021 ◽  
Author(s):  
Andrea L Wirtz ◽  
Kathleen R Page ◽  
Megan Stevenson ◽  
José Rafael Guillén ◽  
Jennifer Ortíz ◽  
...  
Keyword(s):  
Public Health ◽  
Local Community ◽  
National Health System ◽  
Case Finding ◽  
Hiv Treatment ◽  
Screening Tests ◽  
Respondent Driven Sampling ◽  
Ethical Challenges ◽  
Access To Treatment ◽  
Migrant Populations

BACKGROUND Epidemiologic research among migrant populations is limited by logistical, methodological, and ethical challenges, but necessary for informing public health and humanitarian programming. OBJECTIVE We describe a methodology to estimate HIV prevalence among Venezuelan migrants in Colombia. METHODS Respondent-driven sampling (RDS), a non-probability sampling method, was selected for attributes of reaching highly networked populations without sampling frames and analytic methods that permit estimation of population parameters. RDS was modified to permit electronic referral of peers via SMS and Whatsapp. Participants complete socio-behavioral surveys and rapid HIV and syphilis screening tests with confirmatory testing. HIV treatment is not available for migrants who have entered Colombia through irregular pathways; thus, medicolegal services integrated into post-test counseling provide staff lawyers and legal assistance to participants diagnosed with HIV or syphilis for sustained access to treatment through the national health system. Case finding is integrated into RDS to allow partner referral. The study is implemented by a local community-based organization providing HIV support services and related legal services for Venezuelans in Colombia. RESULTS Data collection launched in four cities in July and August 2021. As of November 2021, 3,105 of the target 6,100 participants were enrolled. CONCLUSIONS Tailored methods that combine community-led efforts with innovations in sampling and linkage to care can aid in advancing health research for migrant and displaced populations. Worldwide trends in displacement and migration underscore the value of improved methods for translation to humanitarian and public health programming.

Pandemic Disease, Public Health, and Ethics

2019 ◽  
pp. 796-811 ◽  
Author(s):  
Maxwell Smith ◽  
Ross Upshur
Keyword(s):  
Public Health ◽  
Ethical Issues ◽  
Ethical Challenges ◽  
Pandemic Preparedness ◽  
Scarce Resources ◽  
Ethical Frameworks ◽  
Health Measures ◽  
Care Workers ◽  
The Face ◽  
Conducting Research

Infectious disease pandemics raise significant and novel ethical challenges to the organization and practice of public health. This chapter provides an overview of the salient ethical issues involved in preparing for and responding to pandemic disease, including those arising from deploying restrictive public health measures to contain and curb the spread of disease (e.g., isolation and quarantine), setting priorities for the allocation of scarce resources, health care workers’ duty to care in the face of heightened risk of infection, conducting research during pandemics, and the global governance of preventing and responding to pandemic disease. It also outlines ethical guidance from prominent ethical frameworks that have been developed to address these ethical issues and concludes by discussing some pressing challenges that must be addressed if ethical reflection is to make a meaningful difference in pandemic preparedness and response.

An Overview of the Ethics of Injury in Public Health

2019 ◽  
pp. 597-603
Author(s):  
Adnan A. Hyder
Keyword(s):  
Public Health ◽  
Injury Prevention ◽  
Prevention And Control ◽  
Public Health Ethics ◽  
Ethical Challenges ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health Ethics ◽  
Prompt Attention ◽  
And Control

This chapter briefly introduces ethics issues in injury prevention and control in low- and middle-income countries (LMICs), using a series of examples that prompt attention to the ethical principles of autonomy and justice. The chapter also introduces the section of The Oxford Handbook of Public Health Ethics dedicated to an examination of injury and public health ethics, with attention given to the complex ethical challenges arising in injury prevention and control in LMICs. The section’s two chapters discuss public health ethics issues arising in the prevention and control of unintentional injuries and intentional injuries, respectively. Those chapters define a set of ethics issues within international injury work and provide an initial analysis of the nature of those ethics issues, their specificity, and potential pathways for addressing them.

Malnutrition, Public Health, and Ethics

2019 ◽  
pp. 570-584
Author(s):  
Jessica Fanzo
Keyword(s):  
Public Health ◽  
Food Security ◽  
Overweight And Obesity ◽  
Micronutrient Deficiencies ◽  
Intergenerational Justice ◽  
Ethical Challenges ◽  
Environmentally Sustainable ◽  
Nutritious Food ◽  
Trade Offs ◽  
Society Today

A major challenge for society today is how to secure and provide plentiful, healthy, and nutritious food for all in an environmentally sustainable and safe manner, while also addressing the multiple burdens of undernutrition, overweight and obesity, stunting and wasting, and micronutrient deficiencies, particularly for the most vulnerable. There are considerable ethical questions and trade-offs that arise when attempting to address this challenge, centered around integrating nutrition into the food security paradigm. This chapter attempts to highlight three key ethical challenges: the prioritization of key actions to address the multiple burdens of malnutrition, intergenerational justice issues of nutrition-impacted epigenetics, and the consequences of people’s diet choices, not only for humanity but also for the planet.

Navigating the Ethics of Big Data in Public Health

2019 ◽  
pp. 353-367
Author(s):  
Effy Vayena ◽  
Lawrence Madoff
Keyword(s):  
Public Health ◽  
Big Data ◽  
Credit Card ◽  
Health Sector ◽  
Public Health Research ◽  
Ethical Challenges ◽  
The Public ◽  
Health Community ◽  
Digital Disease Detection ◽  
The Public Sphere

“Big data,” which encompasses massive amounts of information from both within the health sector (such as electronic health records) and outside the health sector (social media, search queries, cell phone metadata, credit card expenditures), is increasingly envisioned as a rich source to inform public health research and practice. This chapter examines the enormous range of sources, the highly varied nature of these data, and the differing motivations for their collection, which together challenge the public health community in ethically mining and exploiting big data. Ethical challenges revolve around the blurring of three previously clearer boundaries: between personal health data and nonhealth data; between the private and the public sphere in the online world; and, finally, between the powers and responsibilities of state and nonstate actors in relation to big data. Considerations include the implications for privacy, control and sharing of data, fair distribution of benefits and burdens, civic empowerment, accountability, and digital disease detection.

The Ethics of AI in Biomedical Research, Patient Care, and Public Health

2020 ◽  
pp. 702-718 ◽  
Author(s):  
Alessandro Blasimme ◽  
Effy Vayena
Keyword(s):  
Public Health ◽  
Patient Care ◽  
Biomedical Research ◽  
Disease Surveillance ◽  
Ethical Issues ◽  
Ethical Review ◽  
Ethical Challenges ◽  
Healthcare Provision ◽  
Social Scientists ◽  
Ethical Frameworks

This chapter explores ethical issues raised by the use of artificial intelligence (AI) in the domain of biomedical research, healthcare provision, and public health. The litany of ethical challenges that AI in medicine raises cannot be addressed sufficiently by current regulatory and ethical frameworks. The chapter then advances the systemic oversight approach as a governance blueprint, which is based on six principles offering guidance as to the desirable features of oversight structures and processes in the domain of data-intense biomedicine: adaptivity, flexibility, inclusiveness, reflexivity, responsiveness, and monitoring (AFIRRM). In the research domain, ethical review committees will have to incorporate reflexive assessment of the scientific and social merits of AI-driven research and, as a consequence, will have to open their ranks to new professional figures such as social scientists. In the domain of patient care, clinical validation is a crucial issue. Hospitals could equip themselves with “clinical AI oversight bodies” charged with the task of advising clinical administrators. Meanwhile, in the public health sphere, the new level of granularity enabled by AI in disease surveillance or health promotion will have to be negotiated at the level of targeted communities.

scholarly journals Reconciling Epidemiology’s Aspirations and Capabilities

2020 ◽  
Author(s):  
David A Savitz
Keyword(s):  
Public Health ◽  
Epidemiologic Studies ◽  
Public Health Importance ◽  
Public Health Action ◽  
Action Current ◽  
Current Trends ◽  
The Face ◽  
Health Action ◽  
New Challenges ◽  
Health Applications

Abstract Interpreting the results of epidemiologic studies calls for objectivity and rigorous scrutiny, acknowledging the limitations that temper the applicability of the findings to public health action. Current trends have posed new challenges to balancing goal of scientific objectivity and validity with public health applications. The ongoing tension between epidemiology’s aspirations and capability has several sources: the need to overpromise in research proposals, compromising methodologic rigor because of public health importance, defending findings in the face of hostile critics, and appealing to core constituencies who have specific expectations from the research.

scholarly journals The academic viewpoint on Big data and patient data ownership (as seen in the scientific literature)

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Mircheva ◽  
M Mirchev
Keyword(s):  
Public Health ◽  
Big Data ◽  
Medical Research ◽  
Information And Communication Technologies ◽  
Patient Information ◽  
Scientific Literature ◽  
Medical Data ◽  
Patient Data ◽  
Academic Community ◽  
Ethical Challenges

Abstract Background Ownership of patient information in the context of Big Data is a relatively new problem, apparently not yet fully understood. There are not enough publications on the subject. Since the topic is interdisciplinary, incorporating legal, ethical, medical and aspects of information and communication technologies, a slightly more sophisticated analysis of the issue is needed. Aim To determine how the medical academic community perceives the issue of ownership of patient information in the context of Big Data. Methods Literature search for full text publications, indexed in PubMed, Springer, ScienceDirect and Scopus identified only 27 appropriate articles authored by academicians and corresponding to three focus areas: problem (ownership); area (healthcare); context (Big Data). Three major aspects were studied: scientific area of publications, aspects and academicians' perception of ownership in the context of Big Data. Results Publications are in the period 2014 - 2019, 37% published in health and medical informatics journals, 30% in medicine and public health, 19% in law and ethics; 78% authored by American and British academicians, highly cited. The majority (63%) are in the area of scientific research - clinical studies, access and use of patient data for medical research, secondary use of medical data, ethical challenges to Big data in healthcare. The majority (70%) of the publications discuss ownership in ethical and legal aspects and 67% see ownership as a challenge mostly to medical research, access control, ethics, politics and business. Conclusions Ownership of medical data is seen first and foremost as a challenge. Addressing this challenge requires the combined efforts of politicians, lawyers, ethicists, computer and medical professionals, as well as academicians, sharing these efforts, experiences and suggestions. However, this issue is neglected in the scientific literature. Publishing may help in open debates and adequate policy solutions. Key messages Ownership of patient information in the context of Big Data is a problem that should not be marginalized but needs a comprehensive attitude, consideration and combined efforts from all stakeholders. Overcoming the challenge of ownership may help in improving healthcare services, medical and public health research and the health of the population as a whole.

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