A prospective validation of a Clinical Algorithm to detect Tuberculosis in child contacts

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dc.contributor.authorZalwango, Sarah
dc.contributor.authorMalone, LaShaunda
dc.contributor.authorStein, Catherine
dc.contributor.authorQuinn, Frederick
dc.contributor.authorChakraburty, Srijita
dc.contributor.authorShen, Ye
dc.contributor.authorHandel, Andreas
dc.contributor.authorMartinez, Leonardo
dc.date.accessioned2021-12-08T15:11:15Z
dc.date.available2021-12-08T15:11:15Z
dc.date.issued2018
dc.description.abstractOver 60% of pediatric tuberculosis cases are undetected by healthcare services in low-income settings (1). Untreated children with tuberculosis have fatality rates of .20%, reaching above 40% in children ,5 years old (2). Specific, effective, and validated interventions to increase case detection in children are urgently needed.en_US
dc.identifier.citationMartinez, L., Handel, A., Shen, Y., Chakraburty, S., Quinn, F. D., Stein, C. M., ... & Whalen, C. C. (2018). A prospective validation of a clinical algorithm to detect tuberculosis in child contacts. American journal of respiratory and critical care medicine, 197(9), 1214-1216.en_US
dc.identifier.uriDOI: 10.1164/rccm.201706-1210LE
dc.identifier.urihttps://nru.uncst.go.ug/xmlui/handle/123456789/206
dc.language.isoenen_US
dc.publisherAmerican Thoracic Societyen_US
dc.subjectClinical Algorithmen_US
dc.subjectTuberculosisen_US
dc.subjectChild contactsen_US
dc.titleA prospective validation of a Clinical Algorithm to detect Tuberculosis in child contactsen_US
dc.typeArticleen_US
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