Retraction Note: Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML.

[This retracts the article DOI: 10.1007/s00500-020-05503-5.].

Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML.

The COVID-19 pandemic continues to have a destructive effect on the health and well-being of the global population. A vital step in the battle against it is the successful screening of infected patients, together with one of the effective screening methods being radiology examination using chest radiography. Recognition of epidemic growth patterns across temporal and social factors can improve our capability to create epidemic transmission designs, including the critical job of predicting the estimated intensity of the outbreak morbidity or mortality impact at the end.