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Poster: Centralized vs. Decentralized Contact Tracing: Do GDP and Democracy Index Influence Privacy Choices?

机译:海报:集中式与分散联系跟踪:DO GDP和民主指数影响隐私选择吗?

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Contagious diseases such as COVID-19 spread rapidly, forcing governments and policymakers to employ corrective measures. Contact tracing is one of the critical tools to identify whether individuals came into contact with infected persons. Many countries, including Australia, Singapore, and India, have released contact tracing apps to reduce the community spread. Such apps follow either a centralized or decentralized architecture; the former lets government agencies store and manage the user's data without privacy support, while the latter allows the user more control over their information, providing privacy. We analyze how the GDP and the democracy index influence the adoption of contact tracing applications. Our study analyzes COVID-19 contact tracing projects announced between February 2020 and August 2020 from 63 countries. The data indicates that countries with high GDP and democracy index tend to opt for decentralized architectures, while autocratic and low GDP countries tend to adopt centralized architectures.
机译:Covid-19等传染病迅速扩散,迫使政府和政策制定者采用纠正措施。联系跟踪是识别个人是否与受感染者接触的重要工具之一。许多国家,包括澳大利亚,新加坡和印度,都发布了联系跟踪应用程序,以减少社区传播。这些应用程序遵循集中式或分散的架构;前者让政府机构在没有隐私支持的情况下存储和管理用户的数据,而后者允许用户更加控制他们的信息,提供隐私。我们分析国内生产总值和民主指数如何影响联系跟踪应用程序的采用。我们的研究分析了Covid-19 2月2020年2月和2020年2月20日在63个国家宣布的联系跟踪项目。这些数据表明,具有高GDP和民主指数的国家倾向于选择分散的架构,而专制和低GDP国家倾向于采用集中架构。

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