Application of mathematical models to the COVID-19 cohort study
- 日時
- 2023年12月19日(火)16:00 - 17:00 (JST)
- 講演者
-
- 西山 尚来 (名古屋大学 大学院理学研究科 博士課程)
- 言語
- 英語
- ホスト
- Daiki Kumakura
The COVID-19 pandemic, which began in 2019, has caused widespread morbidity and mortality across the globe. In response, a multitude of studies focusing on SARS-CoV-2 have been undertaken. Among these, cohort studies have been particularly significant. These studies, as a key observational research method, play a crucial role in exploring the links between various factors and the onset of diseases, offering valuable insights for disease control. Mathematical model, applied within these studies, provide essential quantitative data. In my talk, I will introduce how mathematical models are instrumental in cohort studies, drawing on two of my own COVID-19 cohort studies as examples.
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