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Brian-Juma/HIV-POVERTY-MORTALITY-ANALYSIS

Domaine:

healthcaresocioeconomic
Créateur:
Bri
Hôte:
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 …