Training on Integrated One Health Surveillance Systems for Zoonotic Disease Prediction

What is Integrated One Health Surveillance?

Integrated One Health Surveillance is a coordinated approach that connects animal, human, and environmental health systems to monitor, detect, and respond to zoonotic disease threats using shared data and collaborative frameworks.

Health systems often operate in silos, with limited data sharing between veterinary, public health, and environmental sectors. This fragmentation delays outbreak detection, weakens response coordination, and increases the risk of zoonotic disease spread.

This course provides a structured approach to building integrated surveillance systems that enable real-time data sharing, collaborative risk assessment, and early warning mechanisms. Participants will learn how to operationalize One Health frameworks to predict and prevent zoonotic outbreaks.

Key Concepts Covered

• One Health approach and integrated surveillance systems
• Multi-sectoral coordination and governance frameworks
• Data integration, management, and interpretation
• Zoonotic disease risk assessment and prioritization
• Community-based surveillance and early warning systems
• Digital tools for real-time disease reporting
• Evidence-based outbreak prediction and response

Participants will apply skills to:
• Establish cross-sector surveillance systems
• Improve early detection of zoonotic diseases
• Integrate data from animal, human, and environmental sources
• Strengthen outbreak preparedness and response
• Enhance community-level disease reporting
• Support national and regional health security systems

By the end of the course, participants will be able to design and implement integrated One Health surveillance systems, improve early warning capabilities, and reduce the impact of zoonotic disease outbreaks.

Duration

5 Days

Who Should Attend

• Public health officers and epidemiologists
• Veterinary and animal health professionals
• Environmental health specialists
• Disease surveillance officers
• Laboratory and data analysts
• NGOs and development partners in health systems
• Policy makers in health, agriculture, and environment sectors

Individual Impact

• Strengthen skills in integrated disease surveillance
• Improve ability to analyze cross-sector health data
• Enhance capacity for zoonotic risk assessment
• Build expertise in early warning systems
• Increase effectiveness in outbreak prevention and response

Organizational Impact

• Break down silos between health sectors
• Improve national disease detection and reporting systems
• Strengthen preparedness for zoonotic outbreaks
• Enhance data-driven decision-making
• Support compliance with global health security frameworks

By the end of this course, participants will be able to:
• Understand the principles of the One Health approach
• Establish multi-sectoral collaboration mechanisms
• Analyze and interpret integrated health data
• Conduct zoonotic disease risk assessments
• Design community-based surveillance systems
• Implement digital tools for early warning reporting
• Strengthen coordinated outbreak response strategies

Module 1: Principles of Multi-Sectoral Collaboration

• Introduction to One Health framework
• Roles of agriculture, health, and environment sectors
• Designing inter-ministerial coordination structures
• Communication and data-sharing protocols
• Governance and policy alignment
• Exercise: Build a multi-sector coordination model
• Case Study: Successful cross-sector outbreak response

Module 2: Data Management and Interpretation

• Data collection, integration, and standardization
• Using Epi Info for surveillance
• Data analysis using Microsoft Excel
• Data visualization and dashboarding
• Identifying trends and anomalies
• Practical: Build an integrated surveillance dataset
• Case Study: Turning data into actionable insights

Module 3: Zoonotic Risk Assessment

• Frameworks for disease prioritization
• Risk assessment methodologies and scoring models
• Key zoonotic diseases: Anthrax, Rabies, Brucellosis
• Economic and public health impact analysis
• Decision-making based on risk prioritization
• Exercise: Conduct a zoonotic risk assessment
• Case Study: Prioritizing diseases for intervention

Module 4: Community-Based Surveillance

• Role of community health systems in early detection
• Training paraveterinarians and community health workers
• Mobile-based disease reporting tools
• Real-time alert and response systems
• Strengthening grassroots surveillance networks
• Practical: Design a community surveillance model
• Case Study: Early warning systems in rural settings

Module 5: Case Studies in Action

• Integrated surveillance success stories
• Analysis of Reston virus surveillance systems
• Understanding Antimicrobial Resistance in One Health
• Lessons learned from global outbreak responses
• Scaling integrated surveillance systems
• Capstone Exercise: Build a One Health surveillance strategy
• Case Study: Implementing integrated systems at national level