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Advanced statistical approaches in tuberculosis diagnosis and treatment outcomes in Africa

Description

Examines advanced statistical and computational methods used to improve TB diagnosis and treatment outcomes in Africa. It highlights how these approaches can identify TB patterns, predict outcomes, and improve diagnostic accuracy
TB vaccine theme
Accessibility
Epidemiological impact, Implementation strategies and feasibility

Project details

Country
Ethiopia, Ghana, Kenya, Nigeria, South Africa, Tanzania, Uganda, Xambia, Zimbabwe
Timeline
2010-2026
Target group
Adolescents, Adults
Vaccine
BCG vaccine
Type of protection of vaccine
Prevention of disease, Prevention of infection
Type of research
Qualitative
Partners involved
Ahmadu Bello University, Chul, Federal University of Health Sciences, Neurosychiatric Hospital, Aro, Nigeria, University of Ibadan, University of Ilorin, University of Maiduguri
Type of project
Systamtic review
Funder
Civil Society
Governmental Body

Resources

Advanced statistical approaches in tuberculosis diagnosis and treatment outcomes in Africa: A systematic review

Contact

Mohamed Mustaf Ahmed
mohamed.mustaf.ahmed@gmail.com
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