Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae
Ongoing symptoms might follow acute COVID-19. Using electronic health information, we compared pre‒ and post‒COVID-19 diagnostic codes to identify symptoms that had higher encounter incidence in the post‒COVID-19 period as sequelae. This method can be used for hypothesis generation and ongoing moni...
Main Authors: | Eleanor S. Click, Donald Malec, Jennifer R. Chevinsky, Guoyu Tao, Michael Melgar, Jennifer E. Giovanni, Adi V. Gundlapalli, S. Deblina Datta, Karen K. Wong |
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Format: | Article |
Language: | English |
Published: |
Centers for Disease Control and Prevention
2023-02-01
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Series: | Emerging Infectious Diseases |
Subjects: | |
Online Access: | https://wwwnc.cdc.gov/eid/article/29/2/22-0712_article |
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