Course overview
The Non-Communicable Disease Epidemiology & Prevention Training Workshop/Seminar provides practical knowledge and skills in chronic disease epidemiology, NCD surveillance, risk factor analysis, statistical data analysis, screening and evidence-based prevention. Designed for public health professionals, healthcare practitioners, epidemiologists, researchers and programme managers, the training focuses on analyzing NCD burden, identifying vulnerable populations, designing prevention interventions and strengthening monitoring and evaluation of non-communicable disease programmes.
The training focuses on the epidemiology of major NCDs, including cardiovascular diseases, diabetes, cancers, chronic respiratory diseases and other conditions associated with long-term disability and premature mortality. Participants explore disease burden assessment, risk factor analysis, population-based screening, epidemiological study designs, statistical analysis, health promotion, prevention strategies and monitoring of NCD interventions.
Course objectives
- Explain the principles and scope of non-communicable disease epidemiology.
- Use epidemiological evidence to support public health planning and decision-making.
- Communicate epidemiological findings through reports, visualizations and policy briefs.
- Develop monitoring and evaluation frameworks for NCD programmes.
- Design community-based NCD prevention and health promotion interventions.
- Explain evidence-based approaches to primary, secondary and tertiary prevention.
- Assess population-level risk factors and identify vulnerable groups.
- Clean, manage, analyze and interpret NCD datasets.
- Apply appropriate epidemiological study designs to NCD research and programme evaluation.
- Calculate and interpret key epidemiological indicators for NCD monitoring.
- Identify behavioral, metabolic, environmental and social determinants of NCDs
- Describe the distribution and burden of major NCDs across different populations. .
Who should attend
Public health officers, epidemiologists, medical officers, clinical officers, nurses, nutritionists, health promotion officers, NCD programme coordinators, health information management officers, biostatisticians, public health researchers, monitoring and evaluation professionals, community health professionals, hospital administrators, NGO health programme staff, county and national health department personnel, postgraduate students in epidemiology and public health.
Course content
- Module 1: Foundations of Non-Communicable Disease Epidemiology Definition and classification of NCDs, major categories of non-communicable diseases, global and regional NCD burden, epidemiological transition, population distribution of NCDs, morbidity and
- Module 2: Epidemiology of Major Non-Communicable Diseases Cardiovascular diseases and hypertension, diabetes mellitus, cancers and cancer prevention, chronic respiratory diseases, chronic kidney disease, obesity and metabolic disorders, musculoskeletal co
- Module 3: Risk Factors and Social Determinants of NCDs Tobacco use, harmful alcohol consumption, unhealthy diets, physical inactivity, overweight and obesity, raised blood pressure, elevated blood glucose and abnormal blood lipids, air pollution and occup
- Module 4: NCD Epidemiological Measures and Indicators Incidence and prevalence, mortality and cause-specific mortality, age-standardized rates, case-fatality and survival concepts where applicable, disability and disease burden indicators, risk factor pre
- Module 5: NCD Surveillance and Population-Based Assessment Principles of chronic disease surveillance, routine health facility data, population-based risk factor surveys, community screening data, cancer registries, mortality registration, WHO STEPwise ap
- Module 6: Epidemiological Study Designs for NCD Research Cross-sectional studies, cohort studies, case-control studies, ecological studies, clinical and community intervention studies, sampling strategies, exposure and outcome measurement, questionnaire d
- Module 7: NCD Data Management and Statistical Analysis Data collection and coding, data dictionaries, missing values and duplicate records, data cleaning and validation, descriptive statistics, comparison of population groups, confidence intervals and hyp
- Module 8: Risk Factor Analysis and Epidemiological Modelling Assessment of behavioral and metabolic risk factors, association between exposures and health outcomes, relative risk and odds ratios, confounding and effect modification, logistic regression co
- Module 9: Screening, Early Detection and Risk Stratification Principles of screening, screening versus diagnostic testing, sensitivity and specificity, positive and negative predictive values, screening programme design, cardiovascular risk assessment, di
- Module 10: Primary, Secondary and Tertiary Prevention Population-level prevention, individual risk reduction, early diagnosis and treatment, prevention of complications, rehabilitation and long-term care, tobacco control, healthy diets and physical activi
- Module 11: Health Promotion and Community-Based NCD Prevention Behavior change communication, community mobilization, health education strategies, school and workplace interventions, community screening programmes, culturally appropriate communication, en
- Module 12: Health Systems and Integrated NCD Care Integration of NCD services into primary healthcare, continuity of care, patient-centered chronic disease management, referral systems, essential medicines and diagnostic access, multidisciplinary care, se
- Module 13: Geographic and Population-Level NCD Analysis Geographic distribution of NCD burden, urban-rural differences, age and sex disparities, socioeconomic inequalities, disease mapping, identification of underserved populations, interpretation of regi
- Module 14: Monitoring, Evaluation and Policy for NCD Prevention Development of NCD programme indicators, baseline assessment and target setting, monitoring prevention activities, evaluating intervention effectiveness, interpreting population-level changes
- Module 15: Practical NCD Data Analysis and Prevention Planning Project Importing and cleaning a sample NCD dataset, calculating prevalence and risk factor indicators, comparing results across population groups, conducting basic statistical analysis, ident
General notes
- Recommended Software and Tools Excel, SPSS, Stata, R, Python, Power BI, QGIS, DHIS2, KoboToolbox, Epi Info, SQL, WHO STEPS resources, WHO NCD monitoring resources, enterprise AI tools.
- Practical Exercises and Expected Outputs Analyze a sample hypertension dataset — hypertension prevalence report, assess diabetes risk factors — risk factor analysis summary, calculate age-specific and age-standardized indicators using supplied data — NCD indicator worksheet, clean a community NCD survey dataset — validated analysis-ready dataset, compare risk factors by age and sex — stratified epidemiological summary, conduct a basic association analysis — exposure and outcome interpretation report, develop a screening pathway — NCD screening and referral framework, design a community health promotion intervention — prevention action plan, map NCD burden using available geographic data — disease distribution map, create an NCD monitoring dashboard — interactive dashboard, develop programme indicators — NCD monitoring and evaluation matrix, complete the capstone project — NCD epidemiology report and evidence-based prevention recommendations.
- NCD prevention training, chronic disease epidemiology workshop, diabetes epidemiology training, cardiovascular disease prevention, NCD risk factor analysis, public health data analysis, population health surveillance, health promotion training, NCD monitoring and evaluation.
- The workshop emphasizes practical applications in public health programmes, including analysis of NCD indicators, identification of high-risk populations, interpretation of epidemiological evidence, development of prevention strategies and evaluation of interventions. It is suitable for professionals working in government health departments, hospitals, research institutions, NGOs and community health programmes in Kenya and other countries.
- Training Methodology The workshop/seminar combines expert presentations, guided discussions, epidemiological case studies, practical data analysis, group exercises, screening programme scenarios, community intervention design, public health policy discussions and a capstone project. The training can be adapted to either a seminar format emphasizing technical presentations and policy discussions or a practical workshop format emphasizing data analysis, programme design and applied exercises.
- . Expected Learning Outcomes Participants will gain the ability to interpret NCD epidemiological indicators, assess behavioral and metabolic risk factors, analyze population health data, evaluate screening approaches, design prevention interventions, develop NCD programme monitoring frameworks and communicate findings for health planning and policy decisions.
Frequently asked questions
1. What diseases are covered?
The training covers cardiovascular diseases, hypertension, diabetes, cancers, chronic respiratory diseases, obesity, metabolic disorders and other major NCDs.
2. Does the course include data analysis?
Yes. Participants learn to work with sample datasets, calculate epidemiological indicators, analyze risk factors, compare population groups and present findings through tables, charts and dashboards.
3. Will the training cover disease prevention?
Yes. It addresses primary, secondary and tertiary prevention, health promotion, population-based interventions, screening, early detection, risk reduction and integrated chronic disease care.
4. What software will be used?
Depending on the selected training level and participant requirements, the course may use Excel, SPSS, Stata, R, Python, Power BI, QGIS and DHIS2.
5. What is the difference between the workshop and seminar formats?
A seminar can prioritize expert presentations, discussion and policy implications. A workshop generally includes more hands-on data analysis, practical assignments, intervention design and participant-developed outputs.
Schedule & fees
| Dates | Location | Duration | Fee (USD) |
| 05/04/2027 - 16/04/2027 |
Nairobi,kenya or Virtual |
10 Days |
$2,000 |
| 03/05/2027 - 14/05/2027 |
Rwanda,Kigali |
10 Days |
$3,500 |
| 05/07/2027 - 16/07/2027 |
Mombasa,Kenya |
10 Days |
$2,000 |
| 02/08/2027 - 13/08/2027 |
Accra,Ghana |
10 Days |
$3,500 |
| 06/09/2027 - 17/09/2027 |
Lagos,Nigeria |
10 Days |
$3,500 |