Recently, a new article published on <Science> explores the feasibility of living with the current Coronavirus in the long-term through mathematical modeling. Since either complete eradication or herd immunity is difficult to achieve in the short term, this work may provide useful and helpful public health policy implications in real environment.

Based on the model developed in the article, I translate it into a dynamic model here, so you may gain useful insights or check your own assumptions when simulating.

The key issue here (still an incomplete model) is that insight maker doesnt like the agent folder and the flows. I've solved the original problem where the flows couldn't go across agent boundaries (I did this simply by moving the stocks and their respective flows all OUTSIDE of the folder), but now the main issue is that the flows outside of the folder (particularly [Internal Factor Flow] don't pick up the links from the variables inside of the folder. A key variable, susceptability, has to connect to the previously mentioned flow. The problem is that it lies in the agent folder which means that the flow can't recognize the link. I even tried using a ghost of the Susceptability variable and placed it outside of the folder but that didn't work.