Course curriculum

    1. Learning Objectives

    2. Definition of Healthcare-Associated Infections (HAIs)

    3. Types of HAIs

    4. The Importance of Surveillance in Controlling HAIs

    5. Conclusion

    1. Learning Objectives

    2. Part A : Definitions in Epidemiology

    3. Incidence

    4. Outbreak

    5. Pandemic

    6. Epidemic

    7. Endemic

    8. Morbidity

    9. Mortality

    10. Part B : Basic Statistics Used in Epidemiology

    11. Median

    12. Mode

    13. Standard Deviation

    14. Confidence Interval (CI)

    15. Relative Risk (RR)

    16. Odds Ratio (OR)

    17. P-value

    18. Real-life scenarios

    19. Descriptive & Analytic Epidemiology: Key features and applications

    20. Introduction

    21. Descriptive Epidemiology : what are the key features?

    22. Types of descriptive studies

    23. Case report

    24. Surveillance : ‘’Watchfulness over a community’’

    25. Analytic Epidemiology

    26. Measures of frequency and measures of association

    27. Measures of frequency

    28. Special measures of frequency

    29. Measures of association

    30. Options for Comparing Disease Frequencies

    31. Risk Ratio

    32. Chi-Square Statistic in the Test of Association (significance) between exposure and outcome

    33. Chi-Square Test Statistic

    34. Test of association

    35. Probability Associated with a X2 Statistic

    36. Interpretation of Chi-square statistic

    37. Practical session

    1. Introduction

    2. Section 1 : Active vs. Passive Surveillance

    3. Implementation and Best Practices

    4. Real-Life Example

    5. Passive Surveillance

    6. Application to HAIs

    7. Implementation and Best Practices

    8. Real-Life Example

    9. Section 2 : Design of Surveillance Systems

    10. Purpose & Objectives

    11. Data Collection

    12. Data Analysis

    13. Example Scenario

    14. Section 3 : Establishing a National Healthcare Surveillance Network or Program

    15. Defining the Objectives and Scope

    16. Determining the Scope of Surveillance

    17. Developing a Framework

    18. Case Definitions and Reporting Criteria

    19. Legal and Regulatory Aspects

    20. Collaboration and Partnerships

    21. Defining Key Performance Indicators (KPIs)

    22. Developing Regular Reports

    23. Feedback Mechanisms and Continuous Improvement

    24. Funding and Resource Allocation

    25. Scaling Up and Long-term Sustainability

    26. Section 4 : Case Definitions in Surveillance

    27. Criteria for Defining HAIs

    28. Development and Updating of Case Definitions

    29. Challenges in Applying Case Definitions

    30. Examples of Application

    31. Practical exercises

    32. Exercise 1

    33. Exercise 2

    34. Exercise 3

    1. Outline

    2. Tools and sources of data collection

    3. Importance of data collection

    4. Objectives of data collection

    5. Overview of tools and sources for data collection

    6. Secondary data sources

    7. Setting up a Database – based on HAI definitions

    8. Input the HAI definitions

    9. Implement security measures

    10. How to clean your data?

    11. Specimen collection database

    1. Introduction

    2. Section A : Patient Confidentiality

    3. Legal Aspects

    4. Importance of Protecting Patient Identifiers

    5. Data Sharing Agreements

    6. Ethical Considerations

    7. Section B : Ethical Considerations in Surveillance and Infection Control

    8. Protection of Vulnerable Populations

    9. Ethical Use of Surveillance Data for Research

    10. Responding to Data Breaches

    11. Training and Education

    12. Application to Infection Control

    13. Ethical Dilemmas and Decision Making

    14. Conclusion

About this course

  • $149.00
  • 101 lessons
  • 0 hours of video content

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