Abstract: Aspects of this technical solution can generate, according to a lag time window based at least in part on a first plurality of features, a second data set via aggregation of compatible fields in the first data set, the first plurality of features corresponding to a first data set, augment the first plurality of features extracted from the first data set with a second plurality of features extracted from a third data set, the third data set corresponding to a join of the first data set and the second data set, update, via machine learning and according to a rate corresponding to the data set, a model with the third plurality of features, and instruct a user interface to present at least one performance of the model with the third plurality of features, according to the rate.

Abstract: Aspects of this technical solution can generate, according to a lag time window based at least in part on a first plurality of features, a second data set via aggregation of compatible fields in the first data set, the first plurality of features corresponding to a first data set, augment the first plurality of features extracted from the first data set with a second plurality of features extracted from a third data set, the third data set corresponding to a join of the first data set and the second data set, update, via machine learning and according to a rate corresponding to the data set, a model with the third plurality of features, and instruct a user interface to present at least one performance of the model with the third plurality of features, according to the rate.

Abstract: Systems and methods of epidemiological modeling using machine learning are provided, and can include receiving values for an occurrence of the infectious disease during a first time period, generating, from a model trained by a machine learning system, predictions for the occurrence of the infectious disease over a second time period, performing, by a simulator using the predictions, one or more simulations of the occurrence of the infectious disease in one or more geographic regions during one or more time periods subsequent to the second time period, and providing, to a user interface, a first simulation of the one or more simulations performed by the simulator for a first geographic region of the one or more geographic regions during a time period of the one or more time periods.