使用智能手机应用程序对队列研究中的呼吸道病毒感染进行实时监测

David G Hancock, Elizabeth Kicic-Starcevich, Thijs Sondag, Rael Rivers, Kate McGee, Yuliya V Karpievitch, Nina D’Vaz, Patricia Agudelo-Romero, Jose A Caparros-Martin, Thomas Iosifidis, Anthony Kicic, Stephen M Stick
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引用次数: 0

摘要

背景与目的 研究呼吸道疾病发病机制的队列研究旨在将机理研究与纵向病毒检测结合起来,但受到长期追踪疾病方法负担的限制。在本研究中,我们探索了智能手机应用的效用,它能有效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坚持监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
REAL TIME MONITORING OF RESPIRATORY VIRAL INFECTIONS IN COHORT STUDIES USING A SMARTPHONE APP
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.
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