@文章{信息:doi/10.2196/28116，作者=“Greshake Tzovaras, Bastian和Senabre Hidalgo, Enric和Alexiou, Karolina和Baldy, Lukaz和Morane, Basile和Bussod, Ilona和Fribourg, Melvin和Wac, Katarzyna和Wolf, Gary和Ball, Mad”，标题=“使用以个人为中心的方法从量化流感平台的可穿戴数据中获得见解:“网络学研究”，期刊=“J Med Internet Res”，年=“2021”，月=“Sep”，日=“10”，卷=“23”，数=“9”，页=“e28116”，关键词=“症状跟踪;COVID-19;可穿戴设备;自我追踪;公民科学;netnographic分析;背景:可穿戴设备已广泛应用于健康监测，最近的研究结果表明，可穿戴设备可用于基于生理症状的感染预测。迄今为止，证据是在大规模、基于人群的环境中产生的。相比之下，“量化自我”和“个人科学”社区是由那些对通过使用自己的数据来了解自己感兴趣的人组成的，这些数据通常是通过可穿戴设备收集的。 Objective: This study aims to explore how a cocreation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system for monitoring symptoms of infection alongside wearable sensor data. Methods: We engaged in a cocreation and design process with an existing community of personal science practitioners to jointly develop a working prototype of a web-based tool for symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis to investigate the process of how this prototype was created in a decentralized and iterative fashion. Results: The Quantified Flu prototype allowed users to perform daily symptom reporting and was capable of presenting symptom reports on a timeline together with resting heart rates, body temperature data, and respiratory rates measured by wearable devices. We observed a high level of engagement; over half of the users (52/92, 56{\%}) who engaged in symptom tracking became regular users and reported over 3 months of data each. Furthermore, our netnographic analysis highlighted how the current Quantified Flu prototype was a result of an iterative and continuous cocreation process in which new prototype releases sparked further discussions of features and vice versa. Conclusions: As shown by the high level of user engagement and iterative development process, an open cocreation process can be successfully used to develop a tool that is tailored to individual needs, thereby decreasing dropout rates. ", issn="1438-8871", doi="10.2196/28116", url="//www.mybigtv.com/2021/9/e28116", url="https://doi.org/10.2196/28116", url="http://www.ncbi.nlm.nih.gov/pubmed/34505836" }