Bird Flu Risk Dashboard Features
DashFLUboard is an open-source dashboard application that provides near real-time monitoring and risk assessment of avian influenza (bird flu) outbreaks by tracking wild bird movements and connecting outbreak data.
View MoreKey Features of Bird Flu Risk Dashboard
Bird Flu Risk Dashboard is an open-source dashboard that provides near real-time tracking and analysis of avian influenza outbreaks worldwide. It integrates multiple data sources including disease outbreak data, wild bird movements, environmental variables, and locations of susceptible populations to create comprehensive visualizations and risk assessments. The dashboard enables both retrospective and prospective analyses of avian influenza dynamics to help researchers, health officials, and the poultry industry monitor and respond to outbreaks.
Real-time Data Integration: Combines and visualizes data from multiple sources including EMPRES-i database, Bird Banding Laboratory, wastewater sampling sites, and outbreak reports updated daily
Interactive Visualization Tools: Provides maps, graphs and charts showing outbreak patterns, wild bird movements, and risk levels across different regions
Risk Assessment Capabilities: Enables users to perform near real-time risk assessments and anticipate potential spread based on bird movement patterns and other factors
Historical Data Analysis: Allows comparison of current data with historical patterns dating back to 2005 for contextual analysis
Use Cases of Bird Flu Risk Dashboard
Public Health Monitoring: Health authorities can track virus spread and assess risk to human populations
Poultry Industry Planning: Farmers and industry professionals can implement preventive measures based on risk assessments
Research Analysis: Scientists can study virus transmission patterns and evolution over time
Emergency Response: Government agencies can plan and coordinate response efforts based on outbreak data
Pros
Open source and freely accessible
Comprehensive data integration from multiple sources
Near real-time updates and monitoring capabilities
Cons
Limited to county-level data granularity for privacy reasons
Cannot definitively determine causation of outbreaks
Depends on timely reporting from various data sources
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