Training on One Health Surveillance: Integrating Human, Animal, and Environmental Data

Emerging public health threats often arise at the interface of human, animal, and environmental systems. Zoonotic diseases, antimicrobial resistance, food safety hazards, and climate-driven health impacts cannot be effectively managed by a single sector alone. Traditional surveillance systems operating in isolation limit timely information sharing, early detection, and coordinated response.

This 10-day course equips participants with the knowledge and practical skills to design, implement, and operate integrated One Health surveillance systems. The training covers methods for collecting and harmonizing data from human health services, veterinary networks, wildlife monitoring, and environmental agencies. Participants will learn how to establish collaborative frameworks, develop interoperable data systems, and apply integrated surveillance outputs for early warning, risk assessment, and strategic response planning.

Emphasis is placed on translating multisectoral data into actionable insights through real-world case studies, hands-on exercises, and scenario-based learning. Participants will gain expertise in strengthening cross-sector coordination, improving outbreak detection, and supporting evidence-based decision-making for public health preparedness.

By the end of the program, learners will be able to implement One Health surveillance platforms that enhance early detection, risk mitigation, and coordinated public health interventions.

Duration

10 Days

Who Should Attend

• Public health officials and epidemiologists

• Veterinary and animal health officers

• Environmental health professionals

• Disease surveillance managers

• Digital health and data system managers

• Policymakers and regulators

Individual Impact

• Understand One Health surveillance principles
• Develop integrated data management skills
• Improve outbreak detection capabilities
• Strengthen inter-sector collaboration
• Enhance public health leadership capacity

Organizational Impact

• Improve early warning systems
• Strengthen outbreak preparedness
• Enhance cross-sector coordination
• Optimize data-driven decision-making
• Reduce disease spread and response delays

By the end of this course, participants will be able to:

• Explain the One Health surveillance approach
• Design integrated surveillance frameworks
• Develop interoperable data systems
• Analyze multi-sector surveillance data
• Strengthen coordinated response mechanisms

Module 1: Introduction to One Health and Integrated Surveillance

• One Health concept and importance
• Links between human, animal, and environmental health
• Types of surveillance systems
• Key stakeholders and roles
• Practical Exercise: Map cross-sector surveillance connections

Module 2: Surveillance Data Sources Across Sectors

• Human health reporting systems
• Veterinary disease surveillance
• Wildlife monitoring programs
• Environmental health indicators
• Case Study: Multi-sector data collection during outbreaks

Module 3: Designing Integrated Surveillance Frameworks

• Governance and coordination structures
• Data sharing agreements
• Standard operating procedures
• Communication channels
• Practical Exercise: Develop an integrated surveillance framework

Module 4: Interoperability and Data Integration

• Data standards and formats
• System architecture models
• Health information exchanges
• Real-time data integration tools
• Case Study: Building interoperable surveillance platforms

Module 5: Data Quality and Management

• Data validation techniques
• Data harmonization
• Storage and security practices
• Metadata management
• Practical Exercise: Improve data quality workflows

Module 6: Analytics for Early Warning and Risk Assessment

• Disease trend analysis
• Geospatial mapping
• Predictive modeling basics
• Risk prioritization
• Case Study: Early outbreak detection using integrated data

Module 7: Governance, Ethics, and Data Privacy

• Legal frameworks for data sharing
• Privacy and confidentiality
• Ethical considerations
• Accountability mechanisms
• Practical Exercise: Develop data governance guidelines

Module 8: Coordinated Response and Communication

• Information sharing protocols
• Joint investigation teams
• Risk communication strategies
• Emergency coordination
• Case Study: Cross-sector outbreak response

Module 9: Capacity Building and Sustainability

• Training multi-sector teams
• Resource mobilization
• Technology maintenance
• Institutional strengthening
• Practical Exercise: Create a sustainability plan

Module 10: Scaling and Future Innovations in One Health Surveillance

• Digital surveillance tools
• AI and big data applications
• Community-based reporting
• Global surveillance networks
• Practical Exercise: Develop a scaling roadmap