In this seminar, Mr. Nishiyama delivered a lecture primarily on a cohort study of COVID-19, focusing on the application and interpretation of mathematical models. The content of this lecture provided us, the audience, with extremely valuable insights in the context of how to give back to society through mathematical modeling. In particular, he demonstrated how things that are not apparent in normal statistical analysis can be quantitatively compared and interpreted through mathematical models and parameter estimation. He also proposed a simple model for parameter estimation, which is feasible even with few data points and highly heterogeneous data, and applied this model. Therefore, we were able to see the essence of data-driven mathematical research. This lecture was a very meaningful event from both the perspectives of research content and research approach.

Reported by Daiki Kumakura