mykiie85/Tanzania-malaria-surveillance-dashboard

An interactive Tanzania Malaria Surveillance Dashboard that demonstrates data visualization and web development. The dashboard processes real WHO and Tanzania NMCP data to visualize regional malaria burden, drug resistance profiles, and molecular marker frequencies. # **Tanzania Malaria Surveillance Dashboard** #### **Real-time molecular surveillance and drug resistance monitoring platform** **## 🎯 Project Overview** This interactive web-based dashboard visualizes malaria surveillance data from Tanzania, designed to support the \*\*MSMT2 (Malaria Molecular Surveillance in Mainland Tanzania Phase 2)\*\* project at Ifakara Health Institute. **### Key Features** \- \*\*Real-time Data Visualization\*\*: Interactive charts and graphs displaying malaria burden across Tanzanian regions \- \*\*Drug Resistance Monitoring\*\*: Tracking antimalarial drug resistance profiles \- \*\*Molecular Markers Analysis\*\*: Visualizing frequency of key resistance genes (pfcrt, pfmdr1, pfdhfr, pfdhps, k13) \- \*\*Regional Analytics\*\*: Detailed breakdown of malaria prevalence and case distribution \- \*\*Responsive Design\*\*: Works seamlessly on desktop, tablet, and mobile devices **## 📊 Data Sources** This dashboard integrates data from multiple authoritative sources: 1\. \*\*World Health Organization (WHO)\*\*: Global Health Observatory malaria statistics for Tanzania 2\. \*\*Tanzania National Malaria Control Programme (NMCP)\*\*: Regional prevalence and case data 3\. \*\*Published Research\*\*: Molecular surveillance studies on drug resistance markers 4\. \*\*Tanzania Malaria Indicator Survey\*\*: Population-based prevalence estimates All data processing follows \*\*Good Clinical Laboratory Practice (GCLP)\*\* and \*\*ISO 15189:2022\*\* quality standards. **## 🛠️ Technologies Used** **### Frontend** \- \*\*HTML5\*\*: Semantic markup and structure \- \*\*CSS3\*\*: Modern responsive design with gradient effects \- \*\*JavaScript (ES6+)\*\*: Dynamic data visualization and interactivity **### Data Processing** \- \*\*PapaParse\*\*: CSV parsing and data loading \- \*\*Chart.js\*\*: Interactive, responsive charts and graphs \- \*\*Python\*\*: Data collection and preprocessing (see `data\_collection\_script.p …