Using hospital data for monitoring the dynamics of COVID-19 in France
Keywords:COVID-19 data, change-points detection, statistical model, dynamic model
AbstractThe objective of this article is to show how daily hospital data can be used to monitor the evolution of the COVID-19 epidemic in France.
A piecewise defined dynamic model allows to fit very well the available hospital admission, death and discharge data.
The change-points detected correspond to moments when the dynamics of the epidemic changed abruptly. It is therefore a surveillance tool, not a forecasting tool.
In other words, it can be used effectively to warn of a restart of epidemic activity, but it is not designed to assess the impact of a new lockdown or the emergence of a new variant.
The model, data and fits are implemented in an interactive web application.
How to Cite
Lavielle, M. (2022). Using hospital data for monitoring the dynamics of COVID-19 in France. Journal of Data Science, Statistics, and Visualisation, 2(7), 46–62. https://doi.org/10.52933/jdssv.v2i7.48
Modeling and visualization of covid-19 data