Correspondence

Impact and cost of algorithms for the diagnosis of adults with pulmonary tuberculosis in South Africa

Kathryn Schnippel, Lawrence Long, Gesine Meyer-Rath, Ian Sanne, Sydney Rosen, Wendy Stevens

Abstract


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Authors' affiliations

Kathryn Schnippel, Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Lawrence Long, Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Gesine Meyer-Rath, Center for Global Health and Development, Boston University, Boston, USA; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Ian Sanne, Center for Global Health and Development, Boston University, Boston, USA; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Sydney Rosen, Center for Global Health and Development, Boston University, Boston, USA; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Wendy Stevens, Department of Molecular Medicine and Haematology, Faculty of Health Sciences, University of the Witwatersrand; National Health Laboratory Service, Johannesburg, South Africa

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Keywords

tuberculosis; algorithms; xpert; diagnostics

Cite this article

South African Medical Journal 2013;103(7):436. DOI:10.7196/SAMJ.7156

Article History

Date submitted: 2013-06-11
Date published: 2013-06-12

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