• This article analyses data-driven measures used in South America to mitigate the impact of COVID-19. Based on a broad review of relevant programmes in the region three selected cases from Argentina (Cuidar App), Brazil (use of personal data by IBGE), and Chile (CoronApp) are evaluated against best regional and international practices. • Our findings suggest that programmes in South America mirror approaches in other global regions and as such face many similar challenges. There is no clearly defined purpose, a lack of transparency, and the need for readjustment soon after initial development. • While the region is heavily affected by COVID-19, the three case-studies analysed demonstrate that policy makers in the region failed to establish trust in the measures. This can be deducted from low penetration rates of the programmes in Argentina and Chile. • Finally, there are serious concerns regarding the long-term impact of these programmes upon human rights (especially privacy) and human dignity.

中文翻译：

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减轻南美 COVID-19 影响的数据驱动措施：区域计划与最佳实践相比如何？

• 本文分析了南美洲用于减轻 COVID-19 影响的数据驱动措施。根据对该地区相关计划的广泛审查，来自阿根廷（Cuidar App）、巴西（IBGE 使用个人数据）和智利（CoronApp）的三个选定案例根据最佳区域和国际实践进行了评估。• 我们的研究结果表明，南美洲的计划与全球其他地区的方法相似，因此面临许多类似的挑战。没有明确定义的目的，缺乏透明度，并且需要在初始开发后立即进行重新调整。• 尽管该地区受到 COVID-19 的严重影响，但分析的三个案例研究表明，该地区的决策者未能建立对这些措施的信任。这可以从阿根廷和智利项目的低渗透率中扣除。• 最后，人们对这些计划对人权（尤其是隐私）和人类尊严的长期影响表示严重关切。