A statistical and dynamic approach to better understand the limits of COVID-19 epidemiological models

Noting the inconsistencies in health policies aimed at combating COVID-19, a mathematician from the LSCE (CEA-CNRS-UVSQ) and his co-authors are calling attention to the poor quality of available data, as well as the intrinsic sensitivity of epidemiological models to these data. According to them, it is impossible to make predictions about the number of infections without a thorough understanding of the non-linearities underlying the dynamics of a "complex system", such as an epidemic...

https://www.cea.fr/drf/english/Pages/News/Scientific-results/2021/a-statistical-and-dynamic-approach-to-better-understand-the-limits-of-covid-epidemiological-models.aspx

A. Mazaud, dépêche du 01/03/2021