المؤلفون: Nikhil Mayor, Bernardo Meza-Torres, Cecilia Okusi, Gayathri Delanerolle, Martin Chapman, Wenjuan Wang, Sneha Anand, Michael Feher, Jack Macartney, Rachel Byford, Mark Joy, Piers Gatenby, Vasa Curcin, Trisha Greenhalgh, Brendan Delaney, Simon de Lusignan

المصدر: Mayor, N, Meza-Torres, B, Okusi, C, Delanerolle, G, Chapman, M, Wang, W, Anand, S, Feher, M, Macartney, J, Byford, R, Joy, M, Gatenby, P, Curcin, V, Greenhalgh, T, Delaney, B & de Lusignan, S 2022, ' Developing a Long COVID Phenotype for Postacute COVID-19 in a National Primary Care Sentinel Cohort : Observational Retrospective Database Analysis ', JMIR Public Health and Surveillance, vol. 8, no. 8, e36989 . https://doi.org/10.2196/36989

مصطلحات موضوعية: phenotype, digital tool, computerized, Health Informatics, postacute COVID-19 syndrome, biomedical ontologies, COVID-19 Testing, Post-Acute COVID-19 Syndrome, general practitioners, BioPortal, Humans, long COVID, medical record systems, Retrospective Studies, Primary Health Care, SARS-CoV-2, public health, Public Health, Environmental and Occupational Health, COVID-19, Systematized Nomenclature of Medicine, electronic health record, Phenotype, disease management, data accuracy, data extracts, surveillance, ethnicity, epidemiology, social class, hospitalization

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::179322ca09ed6f1448bbbcadb9c3cebe
https://doi.org/10.2196/36989