Zalwango, SarahMalone, LaShaundaStein, CatherineQuinn, FrederickChakraburty, SrijitaShen, YeHandel, AndreasMartinez, Leonardo2021-12-082021-12-082018Martinez, 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.DOI: 10.1164/rccm.201706-1210LEhttps://nru.uncst.go.ug/xmlui/handle/123456789/206Over 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.enClinical AlgorithmTuberculosisChild contactsArticle