Emerging Approaches for Measuring Population Health
Learn cutting-edge techniques for population health data collection and analysis in this comprehensive course.
Course Cost
Free course
Beginner
Skill Level
8 Hours
Self-paced lessons
This course explores traditional and emerging techniques in population-level data collection to strengthen public health programs and policies. Designed for beginners, it covers key concepts in population-based surveys, focusing on emerging techniques like mobile phone and web-based surveys, health services data, health information systems, and population-based health registries. The course emphasizes the application of gender and equity lenses in data collection and analysis. Developed through a collaboration of global health organizations, it aims to enhance the monitoring of major risk factors for early death, especially from non-communicable diseases. Participants will learn to compare survey methods, understand health information systems, describe population-based registries, and apply gender-transformative approaches in population health measurement.
What you'll learn
Compare and contrast traditional and emerging survey methods across different contexts
Discuss the role, attributes, and challenges of health information systems in population health analysis
Describe components, development, and management of population-based paper and digital registries
Use gender-transformative approaches through integration of gender measures in population-based surveys
Understand the application of mobile phone and web-based surveys in health data collection
Explore the implementation of community-based disease surveillance systems
Analyze the use of digital solutions in responding to public health challenges like the COVID-19 pandemic
Examine the role and importance of cancer registries in population health management
Skills you'll gain
This course includes:
332 Minutes PreRecorded video
18 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This course provides a comprehensive overview of traditional and emerging approaches for measuring population health. It covers four main areas: population-based and household surveys, emerging techniques for population-level data collection, health service data opportunities and challenges, and population-based health registries. The course explores the strengths and limitations of various survey methods, the role of health information systems in understanding population health patterns, and the development and management of population-based registries. Emphasis is placed on integrating gender and equity considerations in data collection and analysis. Through case studies and expert insights, participants will learn about innovative approaches such as mobile phone surveys, web-based data collection, and digital health solutions. The course aims to equip learners with the knowledge to support evidence-based decision-making in public health programs and policies.
Population-Based and Household Surveys
Module 1 · 2 Hours to complete
Emerging Techniques For Population-Level Data Collection
Module 2 · 2 Hours to complete
Health Service Data: Opportunities and Challenges
Module 3 · 1 Hours to complete
Population-based Health Registries
Module 4 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.






