oluwaseyiopeyemi/Nigeria-Disease-Surveillance-Dashboard

Data Analytics project using Power BI to visualize disease trends, patient outcomes, and health surveillance insights in Nigeria. # Nigeria Disease Surveillance Dashboard ## Project Overview The **Nigeria Disease Surveillance Dashboard** provides an analytical overview of disease incidence, patient outcomes, and settlement distribution across Nigeria. The dashboard was developed using **Power BI** to transform raw health data into actionable insights that can support public health monitoring and decision-making. The goal of this project is to demonstrate how data visualization can help identify patterns in disease occurrence, evaluate health outcomes, and highlight areas that may require public health intervention. ## Objectives This dashboard aims to: - Analyze the total number of reported patients. - Identify the number of confirmed disease cases. - Examine confirmed deaths and calculate the case fatality rate. - Compare disease occurrence across **urban and rural settlements**. - Highlight the **most reported diseases** within the dataset. - Provide a clear visual summary for quick health surveillance insights. ## Dashboard Features The **Health Overview dashboard** contains the following key metrics and visuals: **Key Performance Indicators (KPIs)** - Total Reported Patients - Total Confirmed Cases - Confirmed Deaths - Confirmed Case Fatality Rate **Visualizations** - Patient Outcome Distribution (Alive vs Dead) - Top Reported Diseases - Urban vs Rural Disease Distribution - Interactive filters for **Year, Disease, and State** These elements allow users to explore disease patterns and patient outcomes dynamically. ## Tools & Technologies Used - **Power BI** – Data modeling and dashboard creation - **Power Query** – Data transformation and cleaning - **DAX (Data Analysis Expressions)** – Calculated measures and KPIs ## Dataset The dataset used in this project contains anonymized health records, including: - Patient ID - Disease Type - Report Outcome (Confirmed / Not Confirmed) - Health Status (Alive / Dead) - Settlement Type (Urban / Rural) - State - Report Year This …