Sergeant Anand
Departments of Philosophy and Continuing Education, University of Oxford, UK.
Schulich School of Medicine, Western University, Canada.
Public Health Ethics. 2025 Sep 1;18(3):phaf014. doi: 10.1093/phe/phaf014. eCollection 2025 Nov.
In light of the COVID-19 pandemic, global health organizations have called for the implementation of robust global disease surveillance systems to recognize and respond to emerging pathogens. These active surveillance technologies would have a significant global benefit by preventing the spread of current pandemics and informing future pandemic responses. In this paper, I examine the extent to which we can sacrifice individuals' privacy through global disease surveillance in order to benefit current and future generations. First, I outline disease surveillance technologies and explain how disease surveillance would occur primarily in low-income, rural communities in the Global South. Next, I outline privacy-related harms that these individuals would experience as a result of disease surveillance. I argue that within our current distributional system for global health resources, pandemic surveillance would impose privacy-related burdens on marginalized communities, who would receive inadequate benefits from these programs. This is unfair because it exploits the worst off in order to benefit individuals in wealthy nations. I conclude that to justifiably implement global disease surveillance, we ought to adopt a 'prioritarian' approach to health distribution. To impose privacy-related burdens on the worst off, we must ensure that they benefit significantly.
鉴于新冠疫情,全球卫生组织呼吁建立强大的全球疾病监测系统,以识别和应对新出现的病原体。这些主动监测技术通过防止当前大流行病的传播并为未来的疫情应对提供信息,将给全球带来重大益处。在本文中,我探讨了为了使当代人和后代受益,我们在多大程度上可以通过全球疾病监测牺牲个人隐私。首先,我概述疾病监测技术,并解释疾病监测主要将如何在全球南方的低收入农村社区进行。接下来,我概述这些个人因疾病监测而将经历的与隐私相关的伤害。我认为,在我们当前的全球卫生资源分配体系中,疫情监测将给边缘化社区带来与隐私相关的负担,而这些社区从这些项目中获得的益处却不足。这是不公平的,因为它剥削最贫困者以使富裕国家的个人受益。我得出结论,为了合理地实施全球疾病监测,我们应该采用一种“优先主义”的卫生分配方法。要给最贫困者施加与隐私相关的负担,我们必须确保他们能获得显著益处。