TY - JOUR AU - Jonker, Marcel AU - de Bekker-Grob, Esther AU - Veldwijk, Jorien AU - Goossens, Lucas AU - Bour, Sterre AU - Rutten-Van Mölken, Maureen PY - 2020 DA - 2020/10/9 TI - COVID-19接触者追踪应用程序:基于离散选择实验的荷兰预测摄取JO - JMIR Mhealth Uhealth SP - e20741 VL - 8 IS - 10 KW - COVID-19 KW -离散选择实验KW -接触者追踪KW -参与式流行病学KW -参与式监测KW -应用程序KW -摄取KW -预测KW -智能手机KW -传输KW -隐私KW -手机AB -背景:基于智能手机的接触者追踪应用程序有助于降低COVID-19的传播率，从而支持随着限制逐步放松而摆脱封锁的国家。目的:我们研究的主要目的是根据应用程序的特点，确定荷兰人群对接触者追踪应用程序的潜在接受程度。方法:在900名荷兰受访者的全国代表性样本中进行离散选择实验。模拟最大似然方法使用混合logit模型规范来估计总体平均和个人水平的偏好。个人层面的接受概率是根据个人层面的偏好估计计算出来的，随后汇总到样本中，以及特定亚群体的接触追踪应用的采用率。结果:对于最差和最好的接触追踪应用程序，预测应用程序的采用率分别为59.3%到65.7%。最现实的接触追踪应用预计采用率为64.1%。预测的采用率因年龄组而异。例如，在最年长和最年轻的年龄组(即≥75岁和15-34岁)中，最现实的应用的采用率分别为45.6%到79.4%。 Educational attainment, the presence of serious underlying health conditions, and the respondents’ stance on COVID-19 infection risks were also correlated with the predicted adoption rates but to a lesser extent. Conclusions: A secure and privacy-respecting contact tracing app with the most realistic characteristics can obtain an adoption rate as high as 64% in the Netherlands. This exceeds the target uptake of 60% that has been formulated by the Dutch government. The main challenge will be to increase the uptake among older adults, who are least inclined to install and use a COVID-19 contact tracing app. SN - 2291-5222 UR - https://mhealth.www.mybigtv.com/2020/10/e20741 UR - https://doi.org/10.2196/20741 UR - http://www.ncbi.nlm.nih.gov/pubmed/32795998 DO - 10.2196/20741 ID - info:doi/10.2196/20741 ER -