This project demonstrates how to build a real-time, event-driven solution using Amazon Managed Streaming for Apache Kafka (MSK), Amazon Redshift, and Amazon QuickSight. The focus is on creating a data processing and analytics pipeline that monitors flu outbreaks and hospital admissions in specific geographic areas.
The system enables real-time tracking of flu cases, hospital admissions, and outbreak hotspots, providing actionable insights through dynamic dashboards for public health management.
The following architecture outlines the integration of AWS services for data streaming, processing, and visualization. The solution enables real-time flu monitoring across New York (NY), New Jersey (NJ), and Pennsylvania (PA).
In today's interconnected world, the ability to monitor and respond to public health threats like flu outbreaks is essential for healthcare providers, government agencies, and communities. This solution leverages advanced data streaming and analytics capabilities to provide real-time insights into flu trends across specific geographic regions.
- Real-time data collection: Flu outbreak data including patient demographics, symptoms, vaccination status, and hospital admissions.
- Timely decision-making: Providing healthcare professionals with the data they need to allocate resources and minimize virus spread.
- Data-driven insights: Helping public health departments and hospitals respond quickly to emerging flu hotspots.
The Flu Outbreak Monitoring Solution is built using a combination of AWS services that simulate real-world data generation, perform analytics, and visualize insights:
- Amazon MSK is used to simulate streaming flu patient data across NY, NJ, and PA.
- The data includes patient age groups (10-90 years), symptoms, vaccination status, and hospital admission details.
- An MSK Connector simulates real-time data ingestion, providing a continuous stream of flu cases to the pipeline.
- Amazon Redshift ingests and stores the streaming data from MSK using its streaming ingestion capabilities.
- Materialized views in Redshift enable real-time analytics, such as identifying the top flu hotspots, tracking hospitalization rates, and analyzing flu severity across age groups.
- This solution supports data-driven decision-making by providing healthcare officials with up-to-date insights.
- Amazon QuickSight is used to create an interactive dashboard that visualizes flu outbreak data.
- The dashboard displays real-time trends, regional hotspots, and flu impacts across age groups and vaccination statuses.
- Stakeholders can quickly identify areas of concern and take proactive measures based on the latest data.