Digital contact tracing can limit the spread of infectious diseases. Nevertheless, there remain barriers to attaining sufficient adoption. In this study, we investigate how willingness to participate in contact tracing is affected by two critical factors: the modes of data collection and the type of data collected. We conducted a scenario-based survey study among 220 respondents in the United States (U.S.) to understand their perceptions about contact tracing associated with automated and manual contact tracing methods. The findings indicate a promising use of smartphones and a combination of public health officials and medical health records as information sources. Through a quantitative analysis, we describe how different modalities and individual demographic factors may affect user compliance in providing four key pieces of information to contact tracing.
翻译:数字联系追踪可以限制传染病的传播,然而,实现充分采用仍存在障碍。在本研究报告中,我们调查参与联系追踪的意愿如何受到两个关键因素的影响:数据收集方式和所收集数据的类型。我们在美国(美国)的220个答卷人中进行了基于情景的调查研究,以了解他们对与自动和人工联系追踪方法有关的联系追踪的看法。调查结果表明智能手机的使用前景良好,公共卫生官员和医疗健康记录相结合成为信息来源。我们通过定量分析,说明不同模式和个别人口因素如何影响用户在提供四种关键信息以进行联系追踪时遵守要求。