Journal article
Development and validation of clinical prediction models to distinguish influenza from other viruses causing acute respiratory infections in children and adults
Abstract
Predictive models have been developed for influenza but have seldom been validated. Typically they have focused on patients meeting a definition of infection that includes fever. Less is known about how models perform when more symptoms are considered. We, therefore, aimed to create and internally validate predictive scores of acute respiratory infection (ARI) symptoms to diagnose influenza virus infection as confirmed by polymerase chain …
Authors
Vuichard-Gysin D; Mertz D; Pullenayegum E; Singh P; Smieja M; Loeb M
Journal
PLOS ONE, Vol. 14, No. 2,
Publisher
Public Library of Science (PLoS)
DOI
10.1371/journal.pone.0212050
ISSN
1932-6203
Associated Experts
Fields of Research (FoR)
Sustainable Development Goals (SDG)
Medical Subject Headings (MeSH)
Acute DiseaseAdolescentAdultChildChild, PreschoolCluster AnalysisDiagnosis, DifferentialFemaleHumansInfantInfant, NewbornInfluenza, HumanMaleMiddle AgedModels, TheoreticalMultivariate AnalysisPredictive Value of TestsPrognosisRNA, ViralRandomized Controlled Trials as TopicRespiratory Tract InfectionsRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionVirus DiseasesYoung Adult