Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks

no code implementations • 28 Feb 2022 • Marian Petrica, Ionel Popescu

Lastly we use the ensemble to get estimates of the parameters from the real data of Covid19 in Romania and then we illustrate the predictions for different periods of time, from 10 up to 45 days, for the number of deaths.

A regime switching on Covid19 analysis and prediction in Romania

no code implementations • 27 Jul 2020 • Marian Petrica, Radu D. Stochitoiu, Marius Leordeanu, Ionel Popescu

The second issue is that there were many factors which affected the evolution of the pandemic.

A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania

no code implementations • 23 Jun 2020 • Radu D. Stochiţoiu, Marian Petrica, Traian Rebedea, Ionel Popescu, Marius Leordeanu

More specifically, we want to statistically estimate all the relevant parameters for the new coronavirus COVID-19, such as the reproduction number, fatality rate or length of infectiousness period, based on Romanian patients, as well as be able to predict future outcomes.