Analysis of HIV trends, poverty linkages, and child mortality in Africa with a focus on East Africa, using R
# HIV, Poverty and Mortality Analysis
## Overview
This repository contains the analysis and code for my Data Science Internship Assessment at the **Center for Epidemiological Modelling and Analysis (CEMA), University of Nairobi**.
The project examines the intersection of HIV burden, multidimensional poverty, and child mortality in Africa, with a focus on the East African Community (EAC). The analyses use integrated datasets from the **WHO Global Observatory**, **World Bank** and **UN IGME**.
## Project Objectives
- **HIV Trends and Poverty Linkages**
- Identify countries contributing to 75% of the global HIV burden and visualize their trends over time.
- Conduct similar analyses at the WHO regional level.
- Examine the relationship between HIV prevalence and multidimensional poverty indicators using mixed-effects models.
- **Child Mortality in East Africa**
- Visualize under-five and neonatal mortality rates in EAC countries using spatial data.
- Plot mortality trends over time and identify countries with the highest rates.
## Data Sources
- **HIV Data:** WHO Global Observatory (2000–2023)
- **Poverty Data:** World Bank Multidimensional Poverty Indicators
- **Child Mortality Data:** UN Inter-agency Group for Child Mortality Estimation (UN IGME)
- **Spatial Data:** GADM shapefiles (www.gadm.org)
## Key Findings
- **HIV and Poverty Analysis**
- **Top Contributors:** Identified countries contributing to 75% of the global HIV burden and visualized their trends (2000–2023).
- **Poverty Linkages:** Improved sanitation was modestly associated with lower HIV prevalence, while higher educational attainment correlated with higher reported prevalence likely due to greater access to testing and awareness.
- **Child Mortality in East Africa**
- **Highest Rates:** South Sudan had the highest under-five mortality rate (773 per 1,000 live births), while Rwanda recorded the highest neonatal mortality rate (70.2 per 1,000 live births).
- **Trends:** Both under-five and neonata …