Culling is used in traditional public health policies to control animal populations. These policies aim primarily to protect human interests but often fail to provide scientific evidence of effectiveness. In this article, we defend the need to move from a strictly anthropocentric approach to disease control towards a One Health ethics, using culling practices as an example. We focus on the recent badger culls in the UK, claiming that, based on data provided by the English Government, these culls may be (...) unjustified, all thing considered. We highlight the relevance of ethical reasoning rooted in One Health for this discussion, and make several suggestions including a moratorium on culling until data are provided to support the effectiveness of culling; to conduct a randomized trial to compare proactive culling with alternative methods; to apply deliberative democratic methods to assess public opinion towards the culls, and to find in Brexit an opportunity for aiming for more effective control measures. (shrink)

Modern health data practices come with many practical uncertainties. In this paper, I argue that data subjects’ trust in the institutions and organizations that control their data, and their ability to know their own moral obligations in relation to their data, are undermined by significant uncertainties regarding the what, how, and who of mass data collection and analysis. I conclude by considering how proposals for managing situations of high uncertainty might be applied to this problem. These emphasize increasing organizational flexibility, (...) knowledge, and capacity, and reducing hazard. (shrink)

Health research increasingly relies on organized collections of health data and biological samples. There are many types of sample and data collections that are used for health research, though these are collected for many purposes, not all of which are health-related. These collections exist under different jurisdictional and regulatory arrangements and include: 1) Population biobanks, cohort studies, and genome databases 2) Clinical and public health data 3) Direct-to-consumer genetic testing 4) Social media 5) Fitness trackers, health apps, and biometric data (...) sensors Population biobanks, cohort studies, and genome databases Clinical and public health data Direct-to-consumer genetic testing Social media Fitness trackers, health apps, and biometric data sensors Ethical, legal, and social challenges of such collections are well recognized, but there has been limited attention to the broader societal implications of the existence of these collections. Although health research conducted using these collections is broadly recognized as beneficent, secondary uses of these data and samples may be controversial. We examine both documented and hypothetical scenarios of secondary uses of health data and samples. In particular, we focus on the use of health data for purposes of: Forensic investigations Civil lawsuits Identification of victims of mass casualty events Denial of entry for border security and immigration Making health resource rationing decisions Facilitating human rights abuses in autocratic regimes Forensic investigations Civil lawsuits Identification of victims of mass casualty events Denial of entry for border security and immigration Making health resource rationing decisions Facilitating human rights abuses in autocratic regimes Current safeguards relating to the use of health data and samples include research ethics oversight and privacy laws. These safeguards have a strong focus on informed consent and anonymization, which are aimed at the protection of the individual research subject. They are not intended to address broader societal implications of health data and sample collections. As such, existing arrangements are insufficient to protect against subversion of health databases for non-sanctioned secondary uses, or to provide guidance for reasonable but controversial secondary uses. We are concerned that existing debate in the scholarly literature and beyond has not sufficiently recognized the secondary data uses we outline in this paper. Our main purpose, therefore, is to raise awareness of the potential for unforeseen and unintended consequences, in particular negative consequences, of the increased availability and development of health data collections for research, by providing a comprehensive review of documented and hypothetical non-health research uses of such data. (shrink)

During the 2020 COVID-19 pandemic, open science has become central to experimental, public health, and clinical responses across the globe. Open science is described as an open commons, in which a right to science renders all possible scientific data for everyone to access and use. In this common space, capitalist platforms now provide many essential services and are taking the lead in public health activities. These neoliberal businesses, however, have a problematic role in the capture of public goods. This paper (...) argues that the open commons is a community of rights, consisting of people and institutions whose interests mutually support the public good. If OS is a cornerstone of public health, then reaffirming the public good is its overriding purpose, and unethical platforms ought to be excluded from the commons and its benefits. (shrink)

Biobanks are increasingly being created specifically for research purposes. Concomitantly, we are seeing significant and evolving shifts in research ethics in relation to biobanking. Three discrete shifts are identified in this article. The first extends the ethical focus beyond the protection of human subjects to the promotion of broader community benefits of research utilizing biobanked resources, and an expectation that these benefits will be shared. The second involves the evolution of the traditional consent paradigm for future research uses of biobanks (...) resources that are not in contemplation at the time of donation. The third involves a move away from single project management to more dynamic governance accountability to research participants and the public. These shifts may take different local and institutional forms but share common recognizable elements. (shrink)

Biobanks are designed with particular purposes in mind. These purposes are reflected in the governance frameworks that define the conditions for participation and access by researchers. In this paper, I analyse two different models: the commercially aligned deCODE biobank and the ‘public good’ framework of UK Biobank. These diametric models have both featured ‘the public interest’ as pivotal to their achievements. However, if properly understood, the public interest rhetoric of deCODE actually conflicts with any professed community interest. The reasons why (...) are explained, and the effects this has on conditions for participation are critiqued, before reflecting on how each model might have an impact on reproductive health research. (shrink)