Complex Systems: Causal Loops in the COVID Pandemic
Click on a circle to increase or decrease its input. Then watch what happens to the rest of the system. We use dynamic models like this to help people understand their work within complex systems.
Continue clicking around, or reset the system and try again. This example was built using LOOPY, created by Nicky Case.
As with any system, there are many ways to interpret inputs, outputs, loops, and feedback strengths. The static source of this model comes from the article Developing a Preliminary Causal Loop Diagram for Understanding the Wicked Complexity of the COVID-19 Pandemic, published June 2020 in Systems.