Clustering-based time-series analysis of malaria incidence and mortality trends across 46 Sub-Saharan African countries from 2000–2023. The project uses pairwise cross-correlation distance, multidimensional scaling, and hierarchical clustering to identify similarities and heterogeneity in malaria trends while examining sociodemographic factors
# Time-Series-Analysis-of-Malaria
Clustering-based time-series analysis of malaria incidence and mortality trends across 46 Sub-Saharan African countries from 2000–2023. The project uses pairwise cross-correlation distance, multidimensional scaling, and hierarchical clustering to identify similarities and heterogeneity in malaria trends while examining sociodemographic factors