Surveillance Systems: The Building Blocks

  • 4.8
Approx. 6 hours to complete

Course Summary

This course provides an overview of epidemiology and surveillance systems, including the principles, methods, and applications of these systems in public health. Students will learn about the different types of surveillance systems, how to design and implement them, and how to analyze and interpret the data.

Key Learning Points

  • Understand the principles and methods of epidemiology and surveillance systems
  • Learn how to design and implement surveillance systems
  • Analyze and interpret surveillance data to inform public health decisions

Job Positions & Salaries of people who have taken this course might have

    • USA: $71,000 - $119,000
    • India: ₹1,100,000 - ₹3,500,000
    • Spain: €25,000 - €42,000
    • USA: $71,000 - $119,000
    • India: ₹1,100,000 - ₹3,500,000
    • Spain: €25,000 - €42,000

    • USA: $54,000 - $95,000
    • India: ₹420,000 - ₹2,400,000
    • Spain: €18,000 - €30,000
    • USA: $71,000 - $119,000
    • India: ₹1,100,000 - ₹3,500,000
    • Spain: €25,000 - €42,000

    • USA: $54,000 - $95,000
    • India: ₹420,000 - ₹2,400,000
    • Spain: €18,000 - €30,000

    • USA: $175,000 - $200,000
    • India: ₹4,200,000 - ₹6,000,000
    • Spain: €50,000 - €80,000

Related Topics for further study


Learning Outcomes

  • Understand the principles and methods of epidemiology and surveillance systems
  • Design and implement surveillance systems
  • Analyze and interpret surveillance data to inform public health decisions

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of statistics
  • Familiarity with public health concepts

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced
  • Video lectures
  • Interactive quizzes

Similar Courses

  • Introduction to Biostatistics
  • Infectious Disease Epidemiology

Related Education Paths


Notable People in This Field

  • Director of the National Institute of Allergy and Infectious Diseases
  • Chief Medical Correspondent, CNN

Related Books

Description

Epidemiology is often described as the cornerstone science and public health and public health surveillance is a cornerstone of epidemiology. This course will help you build your technical awareness and skills for working with a variety of surveillance systems. Along the way, we'll focus on system objectives, data reporting, the core surveillance attributes, and performance assessment. This course is designed for public health practitioners and anyone who wants to learn more about the basics of public health surveillance. If you develop or implement surveillance systems or aspire to do so or use the data resulting from surveillance, then this course is for you. It's s also for people who are interested in understanding more about this fundamental epidemiologic tool and public health practice.

Knowledge

  • Discuss the role of surveillance within the broader fields of epidemiology and public health
  • Assign objectives to define surveillance cases
  • Use public health surveillance reporting systems
  • Compare and contrast surveillance systems using system attributes

Outline

  • Surveillance as a Core Public Health Function
  • Introduction to Course
  • Introduction to Surveillance as a Core Public Health Function
  • Surveillance Defined
  • A History of Public Health Surveillance
  • Data for Action
  • Example of an International Public Health Surveillance System
  • Example of a Domestic Public Health Surveillance System
  • Using Alternative Public Health Surveillance Tools
  • Reflecting on Surveillance in your Life
  • Course Projects
  • Surveillance as a Core Public Health Function
  • Defining Surveillance Objectives
  • Introduction to Defining Surveillance Objectives and Detecting Cases
  • What is the Surveillance Objective?
  • Examples of Surveillance Objectives
  • Surveillance Case Definitions
  • Balancing Workload with Quality
  • Crafting a Case Definition for Nipah Virus Surveillance in Bangladesh
  • Surveillance as an Observational Process
  • Summary
  • Defining Surveillance Objectives and Detecting Cases
  • Surveillance Data Reporting Systems
  • Introduction to Surveillance Data Reporting Systems
  • Data Reporting as Part of the Surveillance Cycle
  • Japanese Encephalitis Surveillance in Bangladesh
  • Identifying Stakeholders
  • International Health Regulations (IHR 2005)
  • National Notifiable Diseases Surveillance System (NNDSS)
  • Summary
  • Surveillance Data Reporting Systems
  • Surveillance System Attributes and Assessing Performance
  • Introduction to Surveillance System Attributes and Assessing Performance
  • Surveillance Attributes
  • Rotavirus Surveillance in Bangladesh
  • Simplicity
  • Flexibility
  • Data Quality
  • Acceptability
  • Sensitivity
  • Predictive Value Positive
  • Representativeness
  • Timeliness
  • Stability
  • Comparing Attributes between Rotavirus and Cancer Surveillance
  • Summary
  • Course Wrap-Up Video
  • Surveillance System Attributes and Assessing Performance

Summary of User Reviews

Read reviews of Epidemiology: Surveillance Systems course on Coursera. Get an idea of what students think about the course, but without the numeric rating. Many users found the course to be well-structured and informative. Here are the most commonly mentioned pros and cons:

Key Aspect Users Liked About This Course

well-structured and informative course

Pros from User Reviews

  • Great course for beginners in epidemiology
  • Instructors are knowledgeable and engaging
  • Course materials are well-organized and easy to follow
  • Assignments are challenging and relevant
  • Provides a good foundation for further studies in epidemiology

Cons from User Reviews

  • Some technical issues with videos and quizzes
  • Lack of interaction with instructors and fellow students
  • Not enough practical exercises for applying the concepts
  • Some topics are not covered in enough detail
  • Some students found the pace of the course to be too slow
English
Available now
Approx. 6 hours to complete
Emily Gurley, PhD, MPH
Johns Hopkins University
Coursera

Instructor

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