Spatio-Temporal Spread Pattern of COVID-19 in Italy

We consider latent Gaussian fields for modelling spatial dependence in the context of both point patterns and areal data, providing two different applications. The inhomogeneous Log-Gaussian Cox Process model is specified to describe a seismic sequence occurred Greece, resorting Stochastic Partial Differential Equations. Besag-York-Mollie fitted disease mapping Covid-19 infection North Italy. These models belong class Bayesian hierarchical with whose posterior not available closed form. Therefore, inference performed Integrated Nested Laplace Approximation, which provides accurate relatively fast analytical approximations quantities interest.