Longitudinal symptom dynamics of COVID-19 infection

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 and Eran Segal ()
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Barak Mizrahi: KI Research Institute
Smadar Shilo: Weizmann Institute of Science
Hagai Rossman: Weizmann Institute of Science
Nir Kalkstein: KI Research Institute
Karni Marcus: KI Research Institute
Yael Barer: Maccabi Institute for Research and Innovation
Ayya Keshet: Weizmann Institute of Science
Na’ama Shamir-Stein: Maccabi Healthcare Services
Varda Shalev: Tel-Aviv University
Anat Ekka Zohar: Maccabi Healthcare Services
Gabriel Chodick: Maccabi Institute for Research and Innovation
Eran Segal: Weizmann Institute of Science

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract 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.

Date: 2020
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DOI: 10.1038/s41467-020-20053-y

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