Monitoring and Evaluation of Health and Disease Surveillance Programs Training Course

Introduction

Monitoring and Evaluation (M&E) in health and disease surveillance programs is essential for ensuring timely detection, effective response, and evidence-based public health decision-making. The Monitoring and Evaluation of Health and Disease Surveillance Programs Training Course equips participants with the advanced tools, frameworks, and analytical skills needed to design, implement, and manage robust M&E systems that strengthen health surveillance operations and outcomes.

This course explores the critical role of M&E in enhancing disease detection, reporting accuracy, and response mechanisms. Participants will learn to integrate health data from multiple surveillance systems including epidemiological, laboratory, and community-based data sources to improve monitoring of disease trends and inform targeted interventions. The training emphasizes the application of M&E principles to global health priorities such as pandemic preparedness, immunization programs, and emerging infectious diseases.

Participants will gain practical skills in developing indicators, setting baselines, and tracking progress for health surveillance initiatives. The course also covers methodologies for assessing surveillance system performance, evaluating program effectiveness, and linking data analysis with public health policy and strategy. Case studies will highlight best practices from global, regional, and national disease control programs.

With the growing importance of digital health, participants will explore the integration of technology into disease surveillance M&E, including the use of mobile data collection, GIS mapping, and dashboard visualization tools. The course emphasizes data quality management, interoperability, and data-driven decision-making for health systems strengthening.

Emerging issues such as One Health surveillance, antimicrobial resistance (AMR) monitoring, and real-time analytics will also be addressed. Participants will learn how to evaluate multi-sectoral collaborations that enhance health security and community resilience. The course highlights ethical considerations in data use, privacy, and cross-border data sharing.

Ultimately, this training empowers professionals to design and lead efficient M&E systems that drive early warning, improve program accountability, and contribute to the global effort to prevent, detect, and respond to health threats effectively and sustainably.

Who Should Attend

• Health monitoring and evaluation professionals working in government or NGOs.
• Epidemiologists and public health surveillance officers.
• Program and project managers in health and disease control initiatives.
• Data analysts and health information system specialists.
• Health policy advisors and planners.
• Disease surveillance and response coordinators.
• Laboratory network managers and health data stewards.
• Representatives from ministries of health, CDCs, and WHO-affiliated programs.
• Researchers and academicians in health systems and epidemiology.
• Professionals managing One Health or zoonotic disease surveillance programs.

Duration

5 Days

Course Objectives

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

• Design effective M&E frameworks for health and disease surveillance systems.
• Identify appropriate indicators for tracking disease surveillance performance.
• Strengthen data collection, management, and reporting systems for health monitoring.
• Evaluate public health program outcomes and identify areas for improvement.
• Integrate digital tools for real-time health data visualization and analysis.
• Develop actionable insights from surveillance data for policy and response planning.
• Enhance coordination among health institutions and partners for joint M&E.
• Apply evaluation methodologies to assess system sensitivity, timeliness, and completeness.
• Address emerging issues such as AMR, One Health, and pandemic surveillance.
• Communicate findings effectively to guide data-driven public health decision-making.

Comprehensive Course Outline

Module 1: Foundations of M&E in Health Surveillance

• Core concepts of M&E in public health programs.
• Frameworks for disease surveillance and monitoring.
• Key performance indicators for health surveillance.
• Relationship between M&E, health systems, and epidemiology.

Module 2: Designing M&E Systems for Disease Surveillance

• Developing logical frameworks and theory of change.
• Defining performance measurement plans.
• Data flow mapping and reporting pathways.
• Aligning national systems with global health monitoring frameworks.

Module 3: Data Collection and Management for Health M&E

• Data sources in surveillance: facility, laboratory, and community levels.
• Ensuring data quality, timeliness, and completeness.
• Digital and mobile tools for data collection.
• Data storage, integration, and interoperability challenges.

Module 4: Disease Surveillance Indicators and Metrics

• Setting baselines and targets for disease monitoring.
• Designing indicators for morbidity, mortality, and outbreak detection.
• Measuring responsiveness and alert systems.
• Global standards for health indicator frameworks (SDGs, WHO, GHSA).

Module 5: Analysis and Visualization of Health Data

• Quantitative and qualitative data analysis methods.
• Using dashboards for health M&E.
• Geospatial mapping for disease tracking.
• Interpreting surveillance data for decision-making.

Module 6: Evaluation of Health Surveillance Systems

• Frameworks for system performance evaluation (CDC, WHO).
• Criteria: sensitivity, timeliness, representativeness, and stability.
• Evaluation design and methodologies.
• Case studies on evaluating national disease surveillance systems.

Module 7: Digital Health and Emerging Technologies in M&E

• Role of ICT in enhancing disease surveillance.
• Artificial intelligence and predictive analytics for outbreak monitoring.
• Integration of GIS and mobile data platforms.
• Data governance and cybersecurity in digital health systems.

Module 8: Strengthening Institutional Capacity and Coordination

• Building institutional M&E capacity for surveillance programs.
• Partner coordination and multi-sectoral collaboration.
• Community-based surveillance and local engagement.
• Resource mobilization for sustainable M&E systems.

Module 9: Emerging Issues in Health Surveillance M&E

• Monitoring antimicrobial resistance (AMR) and One Health programs.
• Tracking zoonotic diseases and cross-border health threats.
• Evaluating immunization and pandemic preparedness programs.
• Ethical and privacy concerns in health data sharing.

Module 10: Communication and Use of M&E Findings

• Data storytelling for public health decision-making.
• Developing evaluation reports and policy briefs.
• Feedback loops for adaptive management and learning.
• Best practices for disseminating M&E results to stakeholders.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808 

Terms of Payment

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.