Course Overview
Understanding disease patterns, health risks, and population health trends is essential for effective public health planning and evidence-based decision-making. Epidemiology and medical statistics provide the foundation for investigating diseases, evaluating health outcomes, and supporting healthcare interventions.
The Introduction to Epidemiology and Medical Statistics programme by TransforMentors Academy equips participants with the fundamental knowledge and practical skills required to study disease distribution, analyse health data, and interpret epidemiological evidence. The course covers key concepts in epidemiological research, disease surveillance, study design, and statistical analysis.
Through practical applications and real-world examples, participants will develop the ability to evaluate health information, support public health initiatives, and contribute to research and data-driven healthcare decision-making.
Agenda
Day — 1 Introduction to Epidemiology
- Fundamentals of Epidemiology and Its Role in Healthcare
- Types of Epidemiological Studies and Their Applications
- Descriptive Epidemiology
- Analytical Epidemiology
- Experimental Epidemiology
- Role of Epidemiology in Public Health Management
- Principles of Epidemiological Research
- Morbidity and Mortality Measures
- Causation and Association in Public Health
Day — 2 Understanding the Nature of Diseases
- Types of Diseases and Their Causes
- Investigation of Infectious Diseases and Modes of Transmission
- Analysis of Historical Disease Outbreaks
- Disease Lifecycle and Selection of Appropriate Medical Interventions
- Notifiable Diseases and Public Health Reporting Requirements
Day — 3 Health Surveillance Systems
- Fundamentals and Purpose of Health Surveillance Systems
- Types of Health Surveillance Systems:
- Active Surveillance
- Passive Surveillance
- Sentinel Surveillance
- Syndromic Surveillance
- Interpretation of Trends and Patterns in Surveillance Data
- Applications of Health Surveillance Systems in Public Health
- Construction and Interpretation of Funnel Plots
- Case Studies on Health Surveillance During the COVID-19 Pandemic
Day — 4 Medical Statistics and Statistical Analysis Techniques
- Fundamentals of Medical Data Collection and Statistical Analysis
- Measures of Central Tendency and Variability in Health Research
- Principles of Hypothesis Testing
- Common Statistical Tests and Their Applications:
- Chi-Square Test
- T-Test
- ANOVA
- Interpretation of Results from Epidemiological Studies
- Using STATA Software for Medical Data Analysis
Day — 5 Outbreak Control
- Public Health Impact of Outbreaks, Epidemics, and Pandemics
- Principles and Processes of Outbreak Investigation
- Analysis and Validation of Diagnostic Test Results
- Outbreak Prevention and Control Strategies
- Role of Healthcare Systems in Outbreak Management
- Final Presentation on an Epidemiological Study
Learning Outcomes
Upon successful completion of this course, participants will be able to:
- Understand the role of epidemiology in public health and healthcare systems
- Design and apply different epidemiological study methods to address public health challenges
- Interpret morbidity and mortality measures for informed public health decision-making
- Analyse disease patterns, causes, modes of transmission, and disease progression
- Select appropriate medical and public health interventions based on disease characteristics
- Understand the structure and functions of health surveillance systems
- Utilise surveillance data to support public health planning and disease control
- Apply statistical methods in epidemiological and public health research
- Analyse and evaluate diagnostic tests using epidemiological principles
- Conduct outbreak investigations and interpret epidemiological findings
Who Should Attend
This course is designed for professionals involved in public health, epidemiology, healthcare research, and disease surveillance, including:
- Public Health Officers and Practitioners
- Epidemiology and Research Assistants
- Healthcare Professionals Involved in Disease Surveillance
- Medical Students and Early-Career Clinicians
- Health Data Analysts and Research Professionals
- Public Health Researchers and Programme Coordinators
- Professionals Working in Healthcare Policy and Population Health
- Individuals Seeking a Foundation in Epidemiology and Medical Statistics