This course provides an introduction to systems thinking and systems models in public health. Problems in public health and health policy tend to be complex with many actors, institutions and risk factors involved. If an outcome depends on many interacting and adaptive parts and actors the outcome cannot be analyzed or predicted with traditional statistical methods. Systems thinking is a core skill in public health and helps health policymakers build programs and policies that are aware of and prepared for unintended consequences.
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Systems Thinking In Public Health
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Instructors: David Bishai, MD, PhD
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(922 reviews)
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There are 4 modules in this course
This module introduces the basics of systems thinking and the rationale for using a systems approach to solve public health problems in complex adaptive systems.
What's included
8 videos12 readings1 assignment1 discussion prompt
This module will introduce you to the concepts of causal loop diagrams and how they can be used in participatory research. You will also be introduced to the software Vensim that allows you to draw causal loop diagrams.
What's included
8 videos9 readings1 assignment1 discussion prompt
This module will introduce you to the concepts of systems dynamics modeling and will show you how to use Vensim to run a pre-existing system dynamics model.
What's included
13 videos11 readings1 assignment2 discussion prompts
This Module wraps up the course and shows you how systems thinking can contribute to policy making.
What's included
6 videos3 readings1 assignment1 discussion prompt
Instructors
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Learner reviews
922 reviews
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Reviewed on May 29, 2017
The course is easy to understand and the lecturer are well read about the subject. It will be very helpful to me in near future working as a public health worker
Reviewed on Nov 11, 2022
Nothing short of brilliant! Thank you so much for the knowledge, tools and inspiration to approach complex problems in a way that I can see making a real difference. Thank you!
Reviewed on May 26, 2020
It should probably have 2 more weeks of detail.The questions should be less about trying to trick the person with convoluted wording, and more about solving actual problems using models.
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