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

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Bibliographic Details
Title: Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae.
Authors: Click ES, Malec D, Chevinsky J, Tao G, Melgar M, Giovanni J, Gundlapalli A, Datta D, Wong KK
Source: Emerging infectious diseases [Emerg Infect Dis] 2023 Feb; Vol. 29 (2), pp. 389-392. Date of Electronic Publication: 2022 Dec 23.
Publication Type: Journal Article
Journal Info: Publisher: National Center for Infectious Diseases, Centers for Disease Control and Prevention (CDC) Country of Publication: United States NLM ID: 9508155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1080-6059 (Electronic) Linking ISSN: 10806040 NLM ISO Abbreviation: Emerg Infect Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1080-6059
DOI:10.3201/eid2902.220712