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 …