基于风险感知的Covid-19传播预测因子空间化和信号传递的众包方法

Murilo Guerreiro Arouca, C. D. S. Cruz, Marcos Ennes Barreto, Isa Beatriz da C. Neves, Federico Costa, H. Khalil, R. L. Brito
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引用次数: 0

摘要

公众参与公共卫生行动对于抗击Covid-19至关重要,特别是在缺乏精细分辨率地理数据的脆弱城市社区,这些社区阻碍了适当的空间应对。这项工作提出了一种基于众包的解决方案,该解决方案捕获有关人口对冠状病毒传播预测因子的风险感知的地理参考数据。提出的解决方案允许映射和发送有关此类传输预测器存在的实时警报。一项涉及萨尔瓦多市一个社区20人的验证研究表明,提议的解决方案作为以用户为中心的警报工具是高度可接受的,特别是在年轻人中。
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Crowdsourcing for the spatialization and signaling of Covid-19 transmission predictors: an approach based on risk perception
Popular participation in public health actions is essential for fighting Covid-19, especially in vulnerable urban communities where the lack of geographical data at fine resolution scale hinders appropriate spatial responses. This work proposes a crowdsourcing-based solution that captures georeferenced data regarding the population's perception of risk in relation to transmission predictors of Coronavirus. The proposed solution allows for mapping and sending real-time alerts regarding the presence of such transmission predictors. A validation study involving 20 people from a community in the city of Salvador revealed that the proposed solution is highly acceptable as user-centred alert tool, especially among young people.
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