Systems Thinking In Public Health
Master systems thinking approaches for complex public health challenges. Learn modeling, simulation, and policy implementation using practical tools.
Master systems thinking approaches for complex public health challenges. Learn modeling, simulation, and policy implementation using practical tools.
This comprehensive course introduces systems thinking and systems models in public health policy and practice. Students learn to analyze complex health systems with multiple actors and institutions, using advanced modeling techniques and frameworks. The course covers causal loop diagrams, system dynamics simulation, and agent-based modeling, providing practical skills for understanding and addressing complex public health challenges. Through hands-on exercises with tools like Vensim and NetLogo, participants develop expertise in systems analysis and policy implementation.
4.6
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English
English (Original), Deutsch (Auto), हिन्दी (ऑटो), 19 more
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What you'll learn
Understand complex adaptive systems in public health
Master causal loop diagrams for system analysis
Develop system dynamics models using Vensim
Apply agent-based modeling for health systems
Create effective health policy using systems thinking
Implement practical solutions for complex health challenges
Skills you'll gain
This course includes:
6.2 Hours PreRecorded video
4 quizzes
Access on Mobile, Desktop
FullTime access
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There are 4 modules in this course
This course provides a comprehensive introduction to systems thinking in public health, focusing on understanding and analyzing complex health systems. Students learn practical tools and methodologies including causal loop diagrams, system dynamics modeling, and agent-based simulations. The curriculum covers both theoretical frameworks and practical applications, using software like Vensim and NetLogo for hands-on learning. Through four detailed modules, participants develop skills in systems analysis, stakeholder engagement, and policy implementation.
Introduction to Systems Thinking and Complex Adaptive Systems
Module 1 · 4 Hours to complete
System Conceptualization Using Causal Loop Diagrams
Module 2 · 3 Hours to complete
System Dynamics Simulation Using Stock-and-Flow Diagrams
Module 3 · 5 Hours to complete
Practical and policy implications
Module 4 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Professor
Dr. Bishai is a physician and prominent health economist specializing in the application of systems thinking to public health practice. He leads the interdepartmental program in health economics at the school and teaches courses focused on health systems. Dr. Bishai is a regular contributor to leading journals such as Health Economics, Journal of Health Economics, and Health Policy and Planning, and serves as an associate editor for Health Economics. He earned his Ph.D. in Health Care Systems from the Wharton School of Business in 1996, his M.D. from the University of California at San Diego in 1987, and his M.P.H. from UCLA. Dr. Bishai completed his residency training in internal medicine and pediatrics at Cedars-Sinai Medical Center in Los Angeles, California. In 2015, he was elected as the president-elect of the International Health Economics Association, reflecting his leadership and contributions to the field.
Assistant Scientist
Ligia Paina is an Assistant Scientist in the International Health Department's Health System Program at the Johns Hopkins University Bloomberg School of Public Health. As a health system researcher with expertise in international studies and global public health systems, she focuses on applying multi- and transdisciplinary methods to examine how systems and their actors adapt, with a particular emphasis on health systems undergoing transitions.
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4.6 course rating
911 ratings
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