Analyzed and visualized malaria data across Africa covering 587M. Identified a spike in 2017 after a 9-year decline, with DR congo as the most affected country. Applied trend analysis , population segmentation and pivot charts to draw actionable health insights.
# Malaria-Trend-Analysis-in-Africa-2008---2017-
Analyzed and visualized malaria data across Africa covering 587M. Identified a spike in 2017 after a 9-year decline, with DR congo as the most affected country. Applied trend analysis , population segmentation and pivot charts to draw actionable health insights.
## Key Insights
- 2017 had the highest reported malaria cases (128M), despite a prior downward trend from 2008–2016.
- Democratic Republic of Congo recorded the most cases overall.
- Liberia led in child anti-malaria drug distribution, followed by Uganda and Tanzania.
- South Sudan had the highest rural population, while Sao Tome & Principe topped urban population metrics.
- Rural population growth was consistently higher than urban growth across all years.
- Countries with higher urbanization reported lower malaria incidence, suggesting a protective effect.
- Major malaria burden lies in rural, less urbanized regions with limited healthcare access.
## OBSERVATIONS
- The 2017 spike in malaria cases suggests either resurgence of transmission, data quality improvements, or reduced effectiveness in interventions.
- Countries with higher rural populations (e.g. South Sudan, Burundi) face greater challenges in malaria control due to limited healthcare infrastructure and accessibility.
- The top 5 countries distributing anti-malaria drugs to children account for a significant share of child-focused interventions, but not all are among the most affected, suggesting possible inequities or gaps in targeting.
- Despite urbanization, rural population growth remains dominant, implying sustained need for rural-targeted interventions.
- Urbanized nations like Gabon and Libya report relatively lower malaria incidence, reinforcing the correlation between urbanization and lower malaria risk due to better sanitation, housing, and healthcare.
## Recommendations
1. Investigate the 2017 Spike
Conduct further root cause analysis for the surge in 2017 cases.
Evalua …