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Disease Surveillance Analytics Training Course

Online Training Download PDF
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 20, 2026 31 dates
Addis Ababa, Ethiopia 10 days Aug 3, 2026 31 dates
Cape Town, South Africa 10 days Jul 20, 2026 52 dates
Dar es Salaam, Tanzania 10 days Jul 13, 2026 26 dates
Dubai, UAE 10 days Jul 13, 2026 52 dates
Istanbul, Turkey 10 days Aug 10, 2026 16 dates
Kampala, Uganda 10 days Jul 20, 2026 31 dates
Kigali, Rwanda 10 days Jul 13, 2026 52 dates
Kuala Lumpur, Malaysia 10 days Jul 13, 2026 31 dates
Mombasa, Kenya 10 days Jul 20, 2026 52 dates
Pretoria, South Africa 10 days Aug 3, 2026 52 dates
Singapore 10 days Aug 24, 2026 31 dates
Zanzibar, Tanzania 10 days Jul 13, 2026 16 dates

Disease Surveillance Analytics Training Course

Course Overview

The Disease Surveillance Analytics Training Course is designed to provide participants with practical competencies in collecting, managing, analyzing, visualizing, and interpreting disease surveillance data to strengthen public health systems and improve evidence-based decision-making. Increasing global health threats, emerging infectious diseases, pandemics, antimicrobial resistance, and climate-related health emergencies have created an urgent need for professionals capable of utilizing advanced disease surveillance analytics for timely outbreak detection and response. This course equips participants with the analytical skills required to transform surveillance data into actionable intelligence for disease prevention and control.

The course covers the principles of epidemiological surveillance systems, integrated disease surveillance and response frameworks, public health informatics, surveillance data management, outbreak investigation methodologies, statistical analysis techniques, geospatial disease mapping, predictive analytics, and real-time disease monitoring systems. Participants will gain hands-on experience in surveillance database management, data quality assurance, dashboard development, and the application of statistical and analytical tools for monitoring disease trends and identifying risk factors.

The training emphasizes practical application through case studies involving communicable diseases, non-communicable diseases, emerging epidemics, humanitarian emergencies, and health security threats. Participants will learn how to establish surveillance indicators, conduct trend analysis, perform outbreak investigations, build early warning systems, and communicate surveillance findings to policymakers, health managers, and emergency response teams.

The course employs a highly interactive and practical learning approach that includes expert presentations, practical exercises, web-based tutorials, simulation exercises, and collaborative group assignments. By the end of the training, participants will possess the technical capacity to strengthen disease surveillance systems, improve data-driven public health responses, and support effective disease prevention, preparedness, and response strategies.

Course Objectives

Upon successful completion of this course, participants will be able to:

1.     Understand the principles and concepts of disease surveillance analytics.

2.     Design and implement effective disease surveillance systems.

3.     Collect and manage disease surveillance data efficiently.

4.     Apply epidemiological and statistical methods in surveillance analysis.

5.     Conduct outbreak detection and investigation procedures.

6.     Develop disease monitoring indicators and dashboards.

7.     Perform trend and predictive analysis of disease patterns.

8.     Utilize geospatial tools for disease mapping and surveillance.

9.     Communicate surveillance findings for decision-making.

10.  Strengthen public health preparedness and response systems.

Organizational Benefits

Organizations participating in this training will be able to:

1.     Improve disease surveillance and reporting systems.

2.     Strengthen early warning and outbreak detection mechanisms.

3.     Enhance public health emergency preparedness.

4.     Improve evidence-based health policy formulation.

5.     Increase the quality and reliability of surveillance data.

6.     Strengthen health information management systems.

7.     Enhance monitoring and evaluation of disease control programs.

8.     Improve resource allocation and intervention planning.

9.     Strengthen collaboration among health stakeholders.

10.  Build institutional capacity in public health analytics and decision support systems.

Target Participants

This course is suitable for:

·       Epidemiologists

·       Public Health Officers

·       Disease Surveillance Officers

·       Health Information Managers

·       Monitoring and Evaluation Specialists

·       Biostatisticians and Data Analysts

·       Health Program Managers

·       Research Scientists

·       Laboratory Professionals

·       Emergency Response Coordinators

·       Staff from Ministries of Health, NGOs, UN Agencies, and Research Institutions

·       Healthcare Professionals involved in disease surveillance and outbreak response

Course Outline

Module 1: Introduction to Disease Surveillance Analytics

·       Concepts and principles of disease surveillance

·       Types of surveillance systems

·       Disease surveillance frameworks and standards

·       Public health informatics concepts

·       Surveillance indicators and measurements

·       General Case Study: Establishing national disease surveillance systems

Module 2: Disease Surveillance Systems Design and Implementation

·       Integrated Disease Surveillance and Response frameworks

·       Surveillance system architecture

·       Event-based surveillance approaches

·       Indicator-based surveillance methods

·       Community-based surveillance systems

·       General Case Study: Implementing integrated disease surveillance programs

Module 3: Disease Data Collection and Management

·       Disease data collection methodologies

·       Digital surveillance tools and platforms

·       Database design and management

·       Data coding and classification systems

·       Data confidentiality and security principles

·       General Case Study: Electronic disease reporting systems implementation

Module 4: Data Quality Assurance in Disease Surveillance

·       Data quality dimensions and standards

·       Data validation and verification techniques

·       Error detection and correction procedures

·       Completeness and timeliness assessments

·       Quality assurance frameworks

·       General Case Study: Improving surveillance data quality in health facilities

Module 5: Epidemiological Analysis Techniques

·       Measures of disease frequency

·       Measures of association and risk

·       Incidence and prevalence analysis

·       Mortality and morbidity measurements

·       Descriptive epidemiological analysis

·       General Case Study: Analysis of infectious disease surveillance data

Module 6: Statistical Methods in Disease Surveillance

·       Descriptive statistical analysis

·       Inferential statistical techniques

·       Time-series analysis methods

·       Regression analysis applications

·       Trend analysis and forecasting

·       General Case Study: Statistical analysis of epidemic outbreaks

Module 7: Outbreak Detection and Investigation

·       Outbreak detection methodologies

·       Case definitions and classifications

·       Investigation protocols and procedures

·       Contact tracing and surveillance

·       Epidemic curve interpretation

·       General Case Study: Investigation of cholera outbreaks

Module 8: Geospatial Disease Surveillance and Mapping

·       Geographic Information Systems in public health

·       Disease mapping techniques

·       Spatial analysis of disease distribution

·       Hotspot identification methods

·       Environmental health mapping

·       General Case Study: Malaria risk mapping and surveillance

Module 9: Predictive Analytics and Early Warning Systems

·       Predictive disease modeling techniques

·       Early warning system development

·       Risk assessment methodologies

·       Machine learning applications in surveillance

·       Scenario planning and forecasting

·       General Case Study: Predicting epidemic disease outbreaks

Module 10: Dashboard Development and Data Visualization

·       Surveillance dashboard design principles

·       Data visualization techniques

·       Interactive reporting systems

·       Visualization of disease trends

·       Automated reporting mechanisms

·       General Case Study: Developing public health surveillance dashboards

Module 11: Monitoring and Evaluation of Disease Surveillance Systems

·       Performance indicators development

·       Monitoring frameworks and methodologies

·       Surveillance system evaluation techniques

·       Reporting and feedback mechanisms

·       Continuous quality improvement approaches

·       General Case Study: Evaluation of national surveillance systems

Module 12: Evidence-Based Decision-Making and Public Health Response

·       Interpretation of surveillance findings

·       Risk communication strategies

·       Policy development and recommendations

·       Decision support systems

·       Emergency preparedness and response planning

·       General Case Study: Using surveillance analytics to inform public health interventions

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     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.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     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.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     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.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  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.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.

 

 

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