Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae
Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae
About this item
Full title
Author / Creator
Publisher
United States: U.S. National Center for Infectious Diseases
Journal title
Language
English
Formats
Publication information
Publisher
United States: U.S. National Center for Infectious Diseases
Subjects
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Scope and Contents
Contents
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...
Alternative Titles
Full title
Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e623877fb0424c2f9be6414ce2ab1e44
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e623877fb0424c2f9be6414ce2ab1e44
Other Identifiers
ISSN
1080-6040
E-ISSN
1080-6059
DOI
10.3201/eid2902.220712
