Zhang Liyuan, Rafiq Mohamed Y
Department of Social Sciences, NYU Shanghai, Shanghai, China.
NYU Shanghai Center for Global Health Equity, Shanghai, China.
Digit Health. 2023 Apr 25;9:20552076231170689. doi: 10.1177/20552076231170689. eCollection 2023 Jan-Dec.
INTRODUCTION/BACKGROUND: Since 2020, China has implemented unprecedented digital health surveillance over citizens and residents in response to the coronavirus disease 2019 pandemic. We explore the implementation of Health Code (), a contract-tracing and risk assessment app for coronavirus disease 2019, in China. By engaging with the concept of 'ocular ethics', we ask why and how some populations become invisible in China's Health Code surveillance system.
This study used an ethnographic approach to critically examine the role of digital technology in the coronavirus disease 2019 pandemic governance. Three months of participant observation and 20 interviews were conducted to understand the design of Health Code and the situation of homeless population.
We find that China's digital health surveillance during the coronavirus disease 2019 pandemic has failed to cover the homeless population, who either fail to access Health Code or find ways to avoid its mandatory health surveillance. We further summarize four problems resulting in their exclusion, including the loss of ID cards, access to smartphones and phone numbers, problematic design and elastic surveillance, and the neglect of homeless community's precarious living situation.
Situating our work in the literature on theories of surveillance and anthropology of pandemics, we argue that without recognizing the structural problems embedded in homelessness, a large number of poor and homeless migrants are rendered invisible in this data-driven health surveillance, which further pushes them into social exclusion.
引言/背景:自2020年以来,为应对2019冠状病毒病疫情,中国对公民和居民实施了前所未有的数字健康监测。我们探讨了中国实施的健康码()这一用于2019冠状病毒病的接触者追踪和风险评估应用程序。通过引入“视觉伦理”的概念,我们追问为何以及如何一些人群在中国的健康码监测系统中变得隐形。
本研究采用人种志方法,批判性地审视数字技术在2019冠状病毒病疫情治理中的作用。进行了为期三个月的参与观察和20次访谈,以了解健康码的设计以及无家可归者群体的情况。
我们发现,在2019冠状病毒病疫情期间,中国的数字健康监测未能覆盖无家可归者群体,他们要么无法获取健康码,要么想方设法逃避其强制性健康监测。我们进一步总结了导致他们被排除在外的四个问题,包括身份证丢失、无法获取智能手机和电话号码、存在问题的设计和弹性监测,以及对无家可归者社区不稳定生活状况的忽视。
将我们的研究置于关于监测理论和疫情人类学的文献中,我们认为,如果不认识到无家可归问题中所蕴含的结构性问题,大量贫困和无家可归的流动人口在这种数据驱动的健康监测中就会变得隐形,这会进一步将他们推向社会排斥的境地。