Background and Objectives Cohort studies investigating respiratory disease pathogenesis aim to pair mechanistic investigations with longitudinal virus detection but are limited by the burden of methods tracking illness over time. In this study, we explored the utility of a smartphone app to robustly identify symptomatic respiratory illnesses, while reducing burden and facilitating real-time data collection and adherence monitoring.

中文翻译：

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使用智能手机应用程序实时监测队列研究中的呼吸道病毒感染

背景和目标调查呼吸道疾病发病机制的队列研究旨在将机制研究与纵向病毒检测结合起来，但受到随时间推移跟踪疾病的方法负担的限制。在这项研究中，我们探索了智能手机应用程序的实用性，以稳健地识别有症状的呼吸道疾病，同时减轻负担并促进实时数据收集和依从性监测。