Longitudinal symptom dynamics of COVID-19 infection

被引:0
作者
Barak Mizrahi
Smadar Shilo
Hagai Rossman
Nir Kalkstein
Karni Marcus
Yael Barer
Ayya Keshet
Na’ama Shamir-Stein
Varda Shalev
Anat Ekka Zohar
Gabriel Chodick
Eran Segal
机构
[1] KI Research Institute,Department of Computer Science and Applied Mathematics
[2] Weizmann Institute of Science,Department of Molecular Cell Biology
[3] Weizmann Institute of Science,Pediatric Diabetes Unit, Ruth Rappaport Children’s Hospital
[4] Rambam Healthcare Campus,Quality, Research and Evaluation Administration
[5] Maccabi Institute for Research and Innovation,Sackler Faculty of Medicine
[6] Maccabi Healthcare Services,undefined
[7] Tel-Aviv University,undefined
来源
Nature Communications | / 11卷
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摘要
As the COVID-19 pandemic progresses, obtaining information on symptoms dynamics is of essence. Here, we extracted data from primary-care electronic health records and nationwide distributed surveys to assess the longitudinal dynamics of symptoms prior to and throughout SARS-CoV-2 infection. Information was available for 206,377 individuals, including 2471 positive cases. The two datasources were discordant, with survey data capturing most of the symptoms more sensitively. The most prevalent symptoms included fever, cough and fatigue. Loss of taste and smell 3 weeks prior to testing, either self-reported or recorded by physicians, were the most discriminative symptoms for COVID-19. Additional discriminative symptoms included self-reported headache and fatigue and a documentation of syncope, rhinorrhea and fever. Children had a significantly shorter disease duration. Several symptoms were reported weeks after recovery. By a unique integration of two datasources, our study shed light on the longitudinal course of symptoms experienced by cases in primary care.
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