Open AccessRisk Predictors and Symptom Features of Long COVID Within a Broad Primary Care Patient Population Including Both Tested and Untested Patients
Author(s) -
Rupert Jones,
Andrew Davis,
Brooklyn Stanley,
Steven A. Julious,
Dermot Ryan,
David J. Jackson,
David Halpin,
Katherine Hickman,
Hilary Pinnock,
Jennifer K Quint,
Kamlesh Khunti,
Liam G. Heaney,
Phillip Oliver,
Salman Siddiqui,
Ian Pavord,
D Jones,
Michael E. Hyland,
Lewis D Ritchie,
Pam Young,
Tony Megaw,
Steve Davis,
Samantha Walker,
Stephen T. Holgate,
Sue Beecroft,
Anu Kemppinen,
Francis Appiagyei,
Emma-Jane Roberts,
Megan Preston,
Antony Hardjojo,
Victoria Carter,
Marije van Melle,
David Price
Publication year - 2021
Publication title -
pragmatic and observational research
Language(s) - English
Resource type - Journals
ISSN - 1179-7266
DOI - 10.2147/por.s316186
Subject(s) - medicine , covid-19 , observational study , odds ratio , population , demographics , odds , pediatrics , family medicine , logistic regression , disease , demography , environmental health , sociology , infectious disease (medical specialty)
Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care.