  We propose a forecasting method for predicting epidemiological health series
on a two-week horizon at the regional and interregional resolution. The
approach is based on model order reduction of parametric compartmental models,
and is designed to accommodate small amount of sanitary data. The efficiency of
the method is shown in the case of the prediction of the number of infected and
removed people during the two pandemic waves of COVID-19 in France, which have
taken place approximately between February and November 2020. Numerical results
illustrate the promising potential of the approach.
