Titre :
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Using a Bayesian Latent Class Model to Evaluate the Utility of Investigating Persons with Negative Polymerase Chain Reaction Results for Pertussis (2013)
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Auteurs :
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Gillian-Am TARR ;
Department of Pediatrics, University of Wisconsin-Madison (Madison WI, Etats-Unis) ;
Jens-C EICKHOFF ;
Division of Public Health, Wisconsin Department of Health Services (Madison WI, Etats-Unis) ;
Ruth KOEPKE ;
Daniel-J HOPFENSPERGER ;
Jeffrey-P DAVIS ;
James-H CONWAY
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Type de document :
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Article
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Dans :
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American journal of epidemiology (vol. 178, n° 2, 2013)
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Pagination :
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309-318
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Langues:
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Anglais
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Mots-clés :
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Coqueluche
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Modèle
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Evaluation
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Résultat
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Valeur prédictive
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Sensibilité
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Surveillance épidémiologique
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Epidémiologie
;
Bactériose
;
Infection
;
Bactérie
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Résumé :
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[BDSP. Notice produite par INIST-CNRS R0x9rm8E. Diffusion soumise à autorisation]. Pertussis remains difficult to control. Imperfect sensitivity of diagnostic tests and lack of specific guidance regarding interpretation of negative test results among patients with compatible symptoms may contribute to its spread. In this study, we examined whether additional pertussis cases could be identified if persons with negative pertussis test results were routinely investigated. We conducted interviews among 250 subjects aged
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