Abstract: In an aspect, a computer-implemented method for assembling a pool of high-risk subjects for developing an acute illness is disclosed. The method comprises obtaining, from a plurality of subjects, (i) one or more responses to one or more health queries, and (ii) geographic incidence data for the acute illness. The method next comprises predicting, using a machine learning model, a risk of developing the acute illness for the plurality of subjects based on the one or more responses and the geographic incidence data. The method next comprises identifying the pool of high-risk subjects from the plurality of subjects, wherein the risk of developing the acute illness for each subject of the pool of high-risk subjects satisfies a threshold. Finally, the method comprises outputting the pool of high-risk subjects.