Unit 317: Foundations of Epidemiology and Community Health

1. Introduction to Epidemiology

1.1 Definition and Scope

• What is epidemiology?
• Historical background and evolution
• Role in public and community health

1.2 Key Epidemiological Measures

• Incidence (definition, calculation, examples)
• Prevalence (definition, calculation, examples)
• Other measures: morbidity, mortality rates

1.3 Importance of Epidemiology

• Understanding patterns of disease
• Informing public health policy and interventions
• Monitoring health status of populations

2. Epidemiological Study Designs

2.1 Cross-Sectional Studies

• Definition and methodology
• Strengths and limitations
• Use cases in community health

2.2 Cohort Studies

• Prospective and retrospective cohorts
• Strengths and limitations
• Examples of cohort studies

2.3 Case-Control Studies

• Design and selection of cases and controls
• Strengths and limitations
• Applications in outbreak investigations

2.4 Randomized Controlled Trials (RCTs)

• Principles of randomization
• Control groups and blinding
• Strengths and limitations
• Role in evaluating interventions

3. Disease Surveillance and Outbreak Investigation

3.1 Disease Surveillance Systems

• Types of surveillance: passive, active, sentinel
• Data sources and reporting mechanisms

3.2 Steps in Outbreak Investigation

• Establishing the existence of an outbreak
• Verifying diagnosis
• Defining and identifying cases
• Descriptive epidemiology (time, place, person)
• Hypothesis generation and testing
• Implementing control and prevention measures
• Communicating findings

4. Measures of Association

4.1 Relative Risk (RR)

• Definition and formula
• Interpretation and examples

4.2 Odds Ratio (OR)

• Definition and calculation
• When to use OR vs RR
• Interpretation

4.3 Attributable Risk (AR)

• Concept and calculation
• Public health significance

5. Screening and Prevention Strategies

5.1 Principles of Screening

• Criteria for effective screening programs
• Sensitivity, specificity, positive predictive value

5.2 Types of Screening Tests

• Examples of screening tests in community health
• Advantages and limitations

5.3 Prevention Strategies

• Primary, secondary, and tertiary prevention
• Designing interventions based on epidemiological data

6. Data Collection and Analysis in Epidemiology

6.1 Data Collection Methods

• Surveys and questionnaires
• Interviews and focus groups
• Medical and health records

6.2 Data Analysis Techniques

• Descriptive statistics (mean, median, mode, rates)
• Inferential statistics (confidence intervals, hypothesis testing)
• Regression analysis (linear and logistic regression)

7. Ethical Considerations in Epidemiological Research

7.1 Informed Consent

• Importance and process
• Challenges in community settings

7.2 Confidentiality and Privacy

• Protecting participant data
• Data security measures

7.3 Responsible Conduct of Research

• Ethical guidelines and regulations (e.g., Declaration of Helsinki, Belmont Report)
• Institutional Review Boards (IRBs)
• Balancing public health benefits and individual rights