In this paper, a simple yet interpretable, probabilistic model is proposed for the prediction of reported case counts of infectious diseases. A spatio-temporal kernel is derived from training data to
Updated Spatial Models of Tick Vectors Ixodes ricinus and Ixodes persulcatus. Abstract: Ensembled spatial models were produced for Ixodes ricinus ( allixric1xybal40kjul23MEANbrtrf.zip) and Ixodes
Background: This study aims to estimate the total number of infected people, evaluate the effects of NPIs on the healthcare system, and predict the expected number of cases, deaths, hospitalizations d