Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae.

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.

SUBMITTER: Click ES 

PROVIDER: S-EPMC9881771 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature