How can mathematical models advance tuberculosis control in high HIV prevalence settings?
Keywords: HIV; mathematical modelling; sub-Saharan Africa; systematic literature review; tuberculosis
Document Type: Research Article
Affiliations: 1: TB Modelling Group, TB Centre, and Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, UK 2: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 3: Department of Global Health and Development, LSHTM, London, UK 4: Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA 5: Division of Medical Microbiology and Institute of Infectious Diseases and Molecular Medicine, University of Cape Town and National Health Laboratory Service, South Africa 6: Joint United Nations Programme on HIV/AIDS, World Health Organization (WHO), Geneva, Switzerland 7: Oxford-Emergent Tuberculosis Consortium, Wokingham, UK 8: Intellectual Ventures Laboratory, Bellevue, Washington, USA 9: HIV, TB Malaria and Neglected Tropical Diseases Cluster, WHO, Geneva, Switzerland 10: Bill and Melinda Gates Foundation, Seattle, Washington, USA
Publication date: 01 May 2014
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