Digital Disease Surveillance Training Course | FDC Kenya

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Digital Disease Surveillance Training Course

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Upcoming Training Schedules 14 locations

Location	Duration	Next Start Date	Dates Available	Action
Nairobi, Kenya	10 days	Jul 13, 2026	104 dates
Accra, Ghana	10 days	Jul 27, 2026	31 dates
Addis Ababa, Ethiopia	10 days	Aug 3, 2026	31 dates
Cape Town, South Africa	10 days	Jul 13, 2026	52 dates
Dar es Salaam, Tanzania	10 days	Jul 13, 2026	26 dates
Dubai, UAE	10 days	Jul 20, 2026	52 dates
Istanbul, Turkey	10 days	Oct 12, 2026	16 dates
Kampala, Uganda	10 days	Jul 13, 2026	31 dates
Kigali, Rwanda	10 days	Jul 13, 2026	52 dates
Kuala Lumpur, Malaysia	10 days	Aug 17, 2026	31 dates
Mombasa, Kenya	10 days	Jul 13, 2026	52 dates
Pretoria, South Africa	10 days	Aug 3, 2026	52 dates
Singapore	10 days	Aug 17, 2026	31 dates
Zanzibar, Tanzania	10 days	Jul 20, 2026	16 dates

Digital Disease Surveillance Training Course

Digital Disease Surveillance is transforming public health by enabling real-time monitoring, early detection, prediction, and response to infectious diseases and other public health threats through advanced digital technologies and data-driven intelligence. The Digital Disease Surveillance Training Course equips public health professionals, epidemiologists, healthcare managers, health informatics specialists, researchers, policymakers, and data scientists with advanced knowledge and practical skills to design, implement, manage, and optimize digital disease surveillance systems. The course incorporates high-demand concepts including Digital Disease Surveillance, Public Health Surveillance, Epidemiological Surveillance, Artificial Intelligence (AI), Machine Learning, Public Health Informatics, Electronic Health Records (EHR), Health Information Systems (HIS), Health Information Exchange (HIE), Geographic Information Systems (GIS), Big Data Analytics, Predictive Analytics, Early Warning Systems, Syndromic Surveillance, Event-Based Surveillance, One Health, Precision Public Health, Internet of Medical Things (IoMT), Cloud Computing, Healthcare Cybersecurity, Healthcare Dashboards, and Digital Health Transformation, enabling participants to strengthen disease surveillance systems that support rapid public health interventions and improved healthcare outcomes.

Participants will gain practical expertise in collecting, integrating, analyzing, visualizing, and interpreting health surveillance data from multiple digital sources including healthcare facilities, laboratories, mobile health applications, IoMT devices, social media, environmental monitoring systems, and national reporting platforms. Practical sessions include disease surveillance system design, outbreak detection algorithms, predictive modeling, GIS-based disease mapping, health intelligence dashboards, epidemiological trend analysis, AI-assisted surveillance, laboratory data integration, digital contact tracing, real-time reporting systems, risk assessment, and cloud-based surveillance platforms using tools such as Python, R, SQL, Power BI, Tableau, DHIS2, and GIS software.

Healthcare organizations and public health institutions worldwide are investing in digital disease surveillance systems to strengthen outbreak preparedness, improve emergency response, reduce disease transmission, optimize healthcare resources, and support evidence-based public health policy. This course provides practical methodologies for surveillance governance, healthcare interoperability, cybersecurity, ethical data management, regulatory compliance, health information governance, digital transformation, predictive analytics, performance monitoring, and innovation management. Participants will also explore emerging technologies including Generative AI, genomic surveillance, digital twins, wearable health technologies, intelligent epidemiological forecasting, blockchain-enabled health reporting, and integrated public health intelligence platforms that strengthen national and global health security.

The training combines expert-led lectures, practical laboratory sessions, epidemiological simulations, GIS mapping exercises, collaborative surveillance projects, outbreak investigation workshops, healthcare analytics demonstrations, and comprehensive case studies from ministries of health, disease surveillance centers, hospitals, humanitarian organizations, research institutions, academic medical centers, international public health agencies, and global health security programs. Upon successful completion, participants will possess the technical, analytical, strategic, and leadership competencies required to establish advanced digital disease surveillance systems, improve outbreak detection, strengthen health security, optimize disease prevention strategies, and lead digital public health transformation initiatives aligned with international standards and best practices.

Course Objectives

Understand digital disease surveillance concepts and surveillance frameworks.
Design and implement integrated digital disease surveillance systems.
Apply AI and predictive analytics for disease outbreak detection.
Strengthen epidemiological surveillance and health intelligence capabilities.
Utilize GIS for disease mapping and spatial epidemiology.
Develop digital dashboards for surveillance reporting and monitoring.
Strengthen healthcare data governance, privacy, and interoperability.
Improve emergency preparedness and rapid public health response.
Evaluate surveillance system performance and effectiveness.
Develop strategic digital disease surveillance programs for sustainable public health management.

Organizational Benefits

Improve early detection of disease outbreaks and public health threats.
Strengthen evidence-based public health planning and decision-making.
Enhance emergency preparedness and rapid response capacity.
Improve healthcare resource allocation during disease outbreaks.
Strengthen disease surveillance and reporting systems.
Improve healthcare data integration and interoperability.
Enhance organizational health intelligence and situational awareness.
Accelerate digital transformation of public health services.
Improve compliance with national and international surveillance standards.
Build resilient, intelligent, and future-ready disease surveillance systems.

Target Participants

Public Health Professionals
Epidemiologists
Disease Surveillance Officers
Medical Doctors
Public Health Physicians
Health Informatics Specialists
Health Information Managers
Healthcare Data Analysts
Data Scientists
Biostatisticians
Artificial Intelligence Specialists
GIS Specialists
Ministry of Health Officials
Policy Makers
Hospital Administrators
Laboratory Managers
Clinical Researchers
NGO Health Program Managers
Monitoring and Evaluation Specialists
Emergency Response Coordinators
Digital Health Specialists
Healthcare Consultants
University Researchers
International Development Professionals
Health Security Specialists

Course Outline

Module 1: Foundations of Digital Disease Surveillance

Introduction to digital disease surveillance
Public health surveillance systems
Surveillance frameworks
Digital health ecosystem
Disease intelligence lifecycle
Case Study: National digital disease surveillance implementation

Module 2: Surveillance Data Collection and Integration

Electronic Health Records (EHR)
Laboratory information systems
Health Information Exchange (HIE)
Mobile health data
Data quality management
Case Study: Multi-source disease surveillance data integration

Module 3: Epidemiological Surveillance

Descriptive epidemiology
Analytical epidemiology
Disease trend analysis
Case definition development
Outbreak investigation
Case Study: Investigation of an infectious disease outbreak

Module 4: Artificial Intelligence and Predictive Disease Analytics

Artificial Intelligence applications
Machine learning algorithms
Disease prediction models
Predictive risk assessment
Automated outbreak detection
Case Study: AI-assisted prediction of influenza outbreaks

Module 5: Geographic Information Systems (GIS) and Spatial Epidemiology

GIS fundamentals
Disease mapping
Spatial risk analysis
Environmental surveillance
Geographic visualization
Case Study: GIS mapping of cholera transmission hotspots

Module 6: Syndromic and Event-Based Surveillance

Syndromic surveillance
Event-based surveillance
Digital reporting systems
Real-time monitoring
Early warning systems
Case Study: National syndromic surveillance implementation

Module 7: Laboratory and Genomic Surveillance

Laboratory reporting systems
Genomic surveillance
Pathogen sequencing
Antimicrobial resistance monitoring
Integrated laboratory intelligence
Case Study: Genomic surveillance of emerging infectious diseases

Module 8: Health Intelligence Dashboards and Business Intelligence

Dashboard development
Power BI visualization
Tableau reporting
Key surveillance indicators
Executive reporting
Case Study: National disease surveillance dashboard implementation

Module 9: Emergency Preparedness and Response

Public health emergency management
Incident management systems
Risk communication
Response coordination
Health security planning
Case Study: Coordinated response to a pandemic outbreak

Module 10: Data Governance, Privacy and Cybersecurity

Healthcare data governance
Privacy protection
Information security
Regulatory compliance
Ethical data management
Case Study: Securing digital disease surveillance systems

Module 11: Surveillance Program Management and Evaluation

Strategic planning
Monitoring and evaluation
Performance measurement
Continuous quality improvement
Sustainability planning
Case Study: Evaluation of a national disease surveillance program

Module 12: Emerging Technologies and Future Disease Surveillance

Generative AI
Internet of Medical Things (IoMT)
Digital twins
Wearable health technologies
Future surveillance innovations
Case Study: Intelligent disease surveillance ecosystem for national health security

General Information

Customized Training: All our courses can be tailored to meet the specific needs of participants.
Language Proficiency: Participants should have a good command of the English language.
Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
Equipment: Tablets and laptops can be provided to participants at an additional cost.
Post-Training Support: We offer one year of free consultation and coaching after the course.
Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
Website: Visit www.fdc-k.org for more information.

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training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya