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Time-Series Analysis and Age-Stratified by Luis Lopez is a document available to read on EtoBox.

The study employs Seasonal Autoregressive Integrated Moving Average (SARIMA) models to analyze and forecast diarrheal disease incidence in Rwanda from 2015 to 2027, focusing on age-stratified data for children under five and those aged five and above. Findings indicate a significant burden of diarrheal disease, particularly among children under five, with strong seasonal patterns expected to persist. The research aims to provide a framework for improved public health planning and resource allocation in resp

Author
Luis Lopez
Language
EN