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Updated: May 30, 2026
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Enhanced Rabies Surveillance Using a Direct Rapid Immunohistochemical Test
Published on: April 30, 2019
Advancements in web-database applications for rabies surveillance.
Erin E Rees1, Bruno Gendron, Frédérick Lelièvre
1Département de pathologie et microbiologie, Le Groupe de recherche en épidémiologie des zoonoses et santé publique, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, J2S 7C6, Canada. erinerees@gmail.com
International Journal of Health Geographics
|August 4, 2011
Summary
A new web-based database, RageDB, centralizes rabies surveillance data for improved public health protection. It enhances inter-agency communication and allows real-time access to epidemic information for timely responses.
Area of Science:
- Veterinary Public Health
- Infectious Disease Surveillance
- Database Management Systems
Background:
- Rabies control relies on analyzing human and animal surveillance data.
- Multiple provincial and federal agencies in Canada manage separate rabies data repositories.
- Aggregating data is crucial for comprehensive analysis and inter-agency communication.
Purpose of the Study:
- To introduce RageDB, a novel web-based database application for raccoon rabies surveillance in Québec.
- To improve data management and analysis for public health protection against rabies.
- To facilitate communication and collaboration among rabies control agencies.
Main Methods:
- Developed RageDB as a next-generation, web-based database application.
- Implemented automatic daily integration of multi-agency data and diagnostic results.
- Created a user-friendly web interface for data editing and extraction.
- Integrated an interactive dashboard for data visualization (tables, charts, maps).
- Incorporated citizen-reported sightings of rabies-suspect animals.
Main Results:
- RageDB successfully integrates data from all Québec agencies involved in raccoon rabies surveillance.
- The system provides authorized users with daily access to updated data and diagnostic results.
- Citizen sightings data offer insights into public perception of rabies risk.
- The interactive dashboard enables efficient data exploration and visualization.
Conclusions:
- RageDB exemplifies the evolution of spatio-temporal databases for disease surveillance.
- The database was developed cost-effectively using open-source technologies and efficient design.
- RageDB enhances inter-agency communication and collaboration for human health protection.
- Real-time data access enables a more timely and appropriate response to rabies outbreaks.
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