公民数据驱动的流行病监测设计

Q1 Arts and Humanities
R. Cordeiro, C. Mont’Alvão, Manuela Quaresma
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引用次数: 0

摘要

在一个关注冠状病毒大流行的世界里,许多政府不知道如何控制这种疾病。虽然有几种技术可以产生公民数据,但透明度和隐私对于确保社会参与和更有效地抗击病毒非常重要。本文分析了一些与追踪者接触或通报疾病的应用。我们根据这些应用程序捕获数据的方式、隐私问题、公民参与以及面临的主要挑战来选择这些应用程序。后来,我们制作了应用程序旅程图来比较它们,发现使用最多的技术是蓝牙,而且这些应用程序通常都是开源的。然而,这些计划带来了肤浅的见解,需要与更复杂的数据集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Citizen data-driven design for pandemic monitoring
In a world concerned with the coronavirus pandemic, many governments do not know how to control the disease. Although there are several technologies that generate citizen data, transparency, and privacy are very important to ensure social engagement and more effectiveness in fighting the virus. This article analyzed some applications that contact tracing people or inform them about the disease. We selected the applications based on how they captured data, privacy issues, citizen participation, and the main challenges faced. Later, we created the app journey map to compare them and discovered the most used technology is Bluetooth, and the apps often have open source. However, these initiatives bring superficial insights and need to integrate with more complex data.
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来源期刊
Strategic Design Research Journal
Strategic Design Research Journal Arts and Humanities-Arts and Humanities (all)
CiteScore
1.60
自引率
0.00%
发文量
14
审稿时长
26 weeks
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