rassouldev/Malaria-Surveillance-in-Africa

This project provides an open science framework for malaria data extraction, analysis, visualization, and prediction in Djibouti. Using regional malaria surveillance data collected over multiple years, this repository enables # Malaria Surveillance in Africa – Example: Djibouti ## Data Extraction, Epidemiological Analysis and Predictive Modeling # Abstract Malaria remains a major public health challenge in many regions of Africa. Understanding the **temporal and spatial distribution of malaria cases** is essential for improving surveillance systems and guiding public health interventions. This project provides an **open science framework for malaria data extraction, analysis, visualization, and prediction in Djibouti**. Using regional malaria surveillance data collected over multiple years, this repository enables: - epidemiological trend analysis - incidence estimation - seasonal pattern detection - visualization of malaria dynamics - machine learning--based outbreak prediction - support for data-driven decision-making in malaria control programs The repository promotes **reproducible research practices in global health analytics and AI for epidemiology**. # 1. Research Objectives - Analyze the **temporal evolution of confirmed malaria cases** by region. - Estimate **incidence rates per 1000 inhabitants** using regional population data. - Identify **seasonal trends and epidemic peaks**. - Monitor **epidemiological alert thresholds**. - Generate **visual analytics** for malaria surveillance. - Develop a **machine learning early warning system** for outbreak detection. # 2. Scientific Context Malaria surveillance systems rely on routine epidemiological data to detect changes in disease transmission and guide interventions. However, surveillance datasets often require: - data cleaning - normalization - incidence computation - visualization - predictive modeling This project proposes a **data science and AI workflow applied to malaria epidemiology** to support transparent and reproducible research. # 3. Project Structure Project_Djibouti/ ├── Data/ │ ├── Dataset.xlsx │ └── Extract_Data_analyse.xlsx │ ├── Graphiques/ │ ├── analyse_c …