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Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae
- Source :
- Emerging Infectious Diseases, Vol 29, Iss 2, Pp 389-392 (2023)
- Publication Year :
- 2023
- Publisher :
- Centers for Disease Control and Prevention, 2023.
-
Abstract
- 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 monitoring of sequelae of COVID-19 and future emerging diseases.
Details
- Language :
- English
- ISSN :
- 10806040 and 10806059
- Volume :
- 29
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Emerging Infectious Diseases
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.623877fb0424c2f9be6414ce2ab1e44
- Document Type :
- article
- Full Text :
- https://doi.org/10.3201/eid2902.220712