Systems Thinking In Public Health
- Offered byCoursera
Systems Thinking In Public Health at Coursera Overview
Duration | 15 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Systems Thinking In Public Health at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
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- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 15 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Systems Thinking In Public Health at Coursera Course details
- 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.
- An important part of systems thinking is the practice to integrate multiple perspectives and synthesize them into a framework or model that can describe and predict the various ways in which a system might react to policy change. Systems thinking and systems models devise strategies to account for real world complexities.
- This work was coordinated by the Alliance for Health Policy and Systems Research, the World Health Organization, with the aid of a grant from the International Development Research Centre, Ottawa, Canada. Additional support was provided by the Department for International Development (DFID) through a grant (PO5467) to Future Health Systems research consortium.
- © World Health Organization 2014
- All rights reserved. The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted and dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The mention of specific companies or of certain manufacturers? products does not imply that they are endorsed or recommended by the World Health Organization in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters. All reasonable precautions have been taken by the World Health Organization to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall the World Health Organization be liable for damages arising from its use. Johns Hopkins University Bloomberg School of Public Health has a non-exclusive license to use and reproduce the material.
Systems Thinking In Public Health at Coursera Curriculum
Introduction to Systems Thinking and Complex Adaptive Systems
Welcome to Systems Thinking in Public Health
Video: Introduction to Systems Thinking
Lecture 1A: Why Use Systems Thinking
Lecture 1B: Health Systems Applications of CAS: Health Systems Frameworks and the Problem of Implementation
Lecture 1C: CAS Pathways: The Problem of Scaling Up
Lecture 1D: Where Systems Thinking Helps: Understanding the Types of Problems, Theories, Methods, and Tools
Lecture 2A: Systems Thinking In Practice - Understanding and Engaging with Stakeholders
Lecture 2B: Network Analysis, Participatory Impact Pathways Analysis, and Summary
Syllabus
Module Learning Objectives
The Application of Systems Thinking in Public Health - David Peters (2014)
When solutions of yesterday become problems of today - Agyepong et al 2012
Individual?based Computational Modeling of Smallpox Epidemic Control Strategies - Burke et al (2006)
Dynamic spread of happiness in a large social network - Fowler and Christakis (2008)
Why Model? (Epstein 2008)
A stakeholder analysis (Varvasovszky & Brugha, 2000)
Participatory impact pathways analysis: A practical application of program theory in research-for-development (Douthwaite et al. 2007)
Hoffman et. al. (2012) Background Paper on Conceptual Issues Related to Health Systems Research to Inform a WHO Global Strategy on Health Systems Research
2007 Anderson - Agent based models for simulating policies in complex systems
Rwashana AS et. al. ystem dynamics approach to immunization healthcare issues in developing countries: a case study of Uganda.
Hyder A (2010) Stakeholder analysis for health research: case studies from low- and middle-income countries.
Quiz Module 1
System Conceptualization Using Causal Loop Diagrams
Video: System Conceptualization and Mapping
Lecture 3A: System Conceptualization and Mapping: Introduction to Causal Loop Diagrams
Lecture 3B: Causal Loop Diagrams: Basic Components
Lecture 3C: Causal Loop Diagrams: Sources of Data, Strengths, and Weaknesses
Lecture 4A: Introduction to Community-Based Causal Mapping Workshop
Lecture 4B: Community-Based Causal Mapping Workshop Part 1
Lecture 4C: Community-Based Causal Mapping Workshop Part 2
Tutorial 1: Developing causal loop diagrams using Vensim
Module Learning Objectives
Exploring dual practice and its management in Uganda - Paina et al (2014)
Advancing the application of systems thinking in health - Rwashana et al (2014)
Vensim User Manual
Scriptapedia & Original Scripts for Practice Workshop
Simplified Variable Elicitation Script
Group model building using system dynamics: An analysis of methodological frameworks
Community Based System Dynamics
Sterman Chapter 5 Causal Loop Diagrams
Quiz Module 2
System Dynamics Simulation Using Stock-and-Flow Diagrams
Video: System Dynamics Simulation Using Stock-and-Flow Diagrams
Lecture 5A: Using Stock and Flow Principles for Simulation
Lecture 5B: Defining Stocks
Lecture 5C: Flow and Control Variables
Lecture 6A: Case Example: Application of Stock and Flow Diagrams to Public Health
Lecture 6B: Advanced Model of Volume and Quality
Lecture 6C: Advanced Model: Cure and Prevention Model
Tutorial 2: Tutorial on How To Develop Stock-and-Flow Diagrams Using Vensim
Lecture 7A: Analysis Using Agent-Based Models: Trying Things Out
Lecture 7B: Breakdown of the Agent-Based Approach
Lecture 7C: Case Study of Epidemic Modeling
Tutorial 3A: How to use agent-based models for scenario-building using Netlogo
Tutorial 3B: How to use agent-based models for scenario-building using Netlogo
Module Learning Objectives
Vensim Model I - Example Stock and Flow Diagram: Technical Quality
Vensim Model II - Example stock and flow diagram: Quality of services
Vensim Model III - Performance Based Financing
Vensim Model IV - Effect of lobying
Advancing the application of systems thinking in public health - Bishai et all (2014)
Vensim User Manual
Sterman Chapter 6 Stocks and Flows
Module Learning Objectives
How to do agent-based simulations in the future - Helbing and Balietti (2011)
Netlogo User Manual
Quiz Module 3
Practical and policy implications
Video: Practical and policy implications
Lecture 8A: How Systems Thinking Can Contribute to Policy Decision Making
Lecture 8B: Systems Thinking in Top-Down Policymaking
Lecture 8C: Systems Thinking in Bottom-Up Policymaking
Lecture 8D: Integration and Summary
Conclusion Video
Module Learning Objectives
Advancing the application of systems thinking in health: why cure crowds out prevention
Chapter 4 & 13 Colander & Kupers
Quiz Module 4
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