gogoharrison/Tackling-Child-and-Infant-Mortality-in-Africa

This project investigates the underlying factors contributing to high child and infant mortality rates in Africa and provides actionable, data-driven insights to address these challenges. # **Tackling Child and Infant Mortality in Africa** ## **Project Overview** This project aims to address one of Africa's most pressing public health issues: **high infant and child mortality rates**. Through the use of **data analysis** and **predictive modeling**, this project identifies the key factors contributing to child mortality across African countries, including **socioeconomic variables**, **healthcare access**, and **immunization coverage**. By leveraging a variety of datasets, we uncover actionable insights that can drive targeted interventions to improve child health outcomes and achieve **Sustainable Development Goal (SDG) 3: Good Health and Well-being**. ## **Problem Statement** Despite significant global progress, **Africa continues to experience disproportionately high rates of child and infant mortality**, especially in sub-Saharan regions. This problem is exacerbated by: - **Poor healthcare access** - **Inadequate vaccination coverage** - **Socioeconomic disparities** (e.g., maternal education, household income) This project aims to: - Identify the **major determinants** of infant and child mortality in Africa. - Explore the **geographical disparities** in mortality rates across the continent. - Provide **data-driven recommendations** to guide policymakers and organizations in reducing preventable deaths. ## **Objectives** The primary objectives of this project are to: 1. **Analyze Mortality Trends**: Investigate trends in infant and child mortality rates across African countries and identify patterns of growth or decline. 2. **Examine Socioeconomic and Healthcare Factors**: Understand the correlation between factors like **vaccination coverage**, **access to skilled healthcare staff**, **health protection coverage**, and **socioeconomic status** with mortality rates. 3. **Develop Predictive Models**: Build predictive models to identify **high-risk regions** or countries that require targeted interventions. 4. **Provide Actionable Recommendat …