Author
Listed:
- Barak Mizrahi
(KI Research Institute)
- Smadar Shilo
(Weizmann Institute of Science
Weizmann Institute of Science
Rambam Healthcare Campus)
- Hagai Rossman
(Weizmann Institute of Science
Weizmann Institute of Science)
- Nir Kalkstein
(KI Research Institute)
- Karni Marcus
(KI Research Institute
Tel-Aviv University)
- Yael Barer
(Maccabi Institute for Research and Innovation)
- Ayya Keshet
(Weizmann Institute of Science
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
Tel-Aviv University)
- Eran Segal
(Weizmann Institute of Science
Weizmann Institute of Science)
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.
Suggested Citation
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, 2020.
"Longitudinal symptom dynamics of COVID-19 infection,"
Nature Communications, Nature, vol. 11(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-20053-y
DOI: 10.1038/s41467-020-20053-y
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