Mathematical Modeling of COVID-19 in Mexico: Changes and Limitations

At the beginning of 2020, the COVID-19 pandemic started to affect around the world, generating concern in the scientific community for understanding the disease dynamics. In this context, many mathematical models were formulated to address questions about the evolution of COVID-19 disease. A single mathematical model could not answer all the important questions related to the spread of the new coronavirus. Models changed over time to be able to describe particular features of the epidemic curves. In this talk, we show how the models changed as the epidemic evolved and new questions arose. Also, we will focus on the limitations of the mathematical modeling that appeared with the ongoing disease. We will focus on mathematical models that were proposed to understand the COVID-19 dynamics in Mexico or that used data from Mexico as an application of the model.