Shapiro Allison, Marinsek Nicole, Clay Ieuan, Bradshaw Benjamin, Ramirez Ernesto, Min Jae, Trister Andrew, Wang Yuedong, Althoff Tim, Foschini Luca
Evidation Health, Inc., San Mateo, CA 94401, USA.
Bill and Melinda Gates Foundation, Seattle, WA 98109, USA.
Patterns (N Y). 2020 Dec 13;2(1):100188. doi: 10.1016/j.patter.2020.100188. eCollection 2021 Jan 8.
The fight against COVID-19 is hindered by similarly presenting viral infections that may confound detection and monitoring. We examined person-generated health data (PGHD), consisting of survey and commercial wearable data from individuals' everyday lives, for 230 people who reported a COVID-19 diagnosis between March 30, 2020, and April 27, 2020 (n = 41 with wearable data). Compared with self-reported diagnosed flu cases from the same time frame (n = 426, 85 with wearable data) or pre-pandemic (n = 6,270, 1,265 with wearable data), COVID-19 patients reported a distinct symptom constellation that lasted longer (median of 12 versus 9 and 7 days, respectively) and peaked later after illness onset. Wearable data showed significant changes in daily steps and prevalence of anomalous resting heart rate measurements, of similar magnitudes for both the flu and COVID-19 cohorts. Our findings highlight the need to include flu comparator arms when evaluating PGHD applications aimed to be highly specific for COVID-19.
与新冠病毒表现相似的病毒感染会干扰检测和监测，从而阻碍抗击新冠疫情的工作。我们研究了个人生成的健康数据（PGHD），这些数据来自2020年3月30日至2020年4月27日期间报告新冠病毒诊断的230人，包括他们日常生活中的调查数据和商业可穿戴设备数据（其中41人有可穿戴设备数据）。与同一时间段自我报告确诊的流感病例（n = 426，85人有可穿戴设备数据）或疫情前（n = 6270，1265人有可穿戴设备数据）相比，新冠病毒患者报告了一组不同的症状，持续时间更长（中位数分别为12天、9天和7天），且在发病后达到峰值的时间更晚。可穿戴设备数据显示，流感和新冠病毒队列的每日步数和异常静息心率测量患病率均有显著变化，且幅度相似。我们的研究结果强调，在评估旨在对新冠病毒具有高度特异性的PGHD应用时，需要纳入流感对照组。
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