A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment.

A population data-driven approach to identifying ‘Long COVID’ cases in support of diagnosis and treatment.

Objective Post-acute COVID-19 (or ‘long COVID’) manifests as a wide range of long-lasting symptoms affecting multiple organ systems. We are developing criteria for identifying long COVID cases using administrative, clinical, survey and other data from Manitoba, Canada, with the ultimate goal of exam...

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Bibliographic Details
Main Authors: Jennifer Enns, Alan Katz, Marina Yogendran, Marcelo Urquia, Saman Muthukumarana, Surani Matharaarachchi, Alexander Singer, Nathan Nickel, Leona Star, Teresa Cavett, Yoav Keynan, Lisa Lix, Diana Sanchez-Ramirez
Format: Article
Language:English
Published: Swansea University 2022-08-01
Series:International Journal of Population Data Science
Subjects:
COVID-19
administrative data
electronic medical records
long COVID
symptoms
clinical diagnosis
Online Access:https://ijpds.org/article/view/1924

Internet

https://ijpds.org/article/view/1924

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