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Advancing Evidence-Based Decision-Making in Public Health: The Critical Role of Practical Biostatistical Methods for Health Monitoring in Sub-Saharan Africa


Author(s) : Tsirizani M. Kaombe, Lawrence N. Kazembe, Vincent Samuel Phiri, Dzinkambani Kambalame, Adamson Sinjani Muula
Emerging Topics in Statistics and Biostatistics

Abstract


Statistical modeling is essential for evidence-based decision-making in public health, especially in sub-Saharan Africa, where the prevalence of both communicable and noncommunicable diseases remains high. This chapter serves as an introduction to the book “Statistical Modelling for Evidence-Based Public Health: Case Studies in HIV Epidemiology and Child and Maternal Health.” It outlines the book’s structure and key themes while highlighting the use of advanced statistical techniques to analyze disease patterns, monitor health interventions, and optimize health policies. By connecting data science with public health, this chapter underscores the importance of robust analytical methods in enhancing healthcare outcomes and guiding policy decisions in resource-limited settings.


Original language en
Pages (from-to) 1-14
Publication status Published - 2025

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This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)

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10.1007/978-3-031-97281-2_1

UN SDGs

This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)

sdg

Access document

10.1007/978-3-031-97281-2_1

UN SDGs

This research output contributes to the following United Nations (UN) Sustainable Development Goals (SDGs)

sdg

Access document

10.1007/978-3-031-97281-2_1