Contemporary infectious disease surveillance systems aim to employ the speed and scope of big data in an attempt to provide global health security. Both shifts - the perception of health problems through the framework of global health security and the corresponding technological approaches – imply epistemological changes, methodological ambivalences as well as manifold societal effects. Bringing current findings from social sciences and public health praxis into a dialogue, this conversation style contribution points out several broader implications of changing disease surveillance. The conversation covers epidemiological issues such as the shift from expert knowledge to algorithmic knowledge, the securitization of global health, and the construction of new kinds of threats. Those developments are detailed and discussed in their impacts for health provision in a broader sense.

当代传染病监测系统旨在利用大数据的速度和范围来提供全球健康安全。这两种转变——通过全球卫生安全框架和相应的技术方法对健康问题的看法——都意味着认识论的变化、方法论的矛盾以及多方面的社会影响。这种对话风格的贡献将社会科学和公共卫生实践的最新发现纳入对话，指出了改变疾病监测的几个更广泛的影响。对话涵盖流行病学问题，例如从专家知识到算法知识的转变、全球健康的安全化以及新型威胁的构建。这些进展在更广泛的意义上对卫生服务的影响进行了详细讨论。