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 |