Pool testing on random and natural clusters of individuals: Optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples.

Facing the SARS-CoV-2 epidemic requires intensive testing on the population to early identify and isolate infected subjects. During the first emergency phase of the epidemic, RT-qPCR on nasopharyngeal (NP) swabs, which is the most reliable technique to detect ongoing infections, exhibited limitations due to availability of reagents and budget constraints. This stressed the need to develop screening procedures that require fewer resources and are suitable to be extended to larger portions of the population.

A subregional analysis of family change: The spatial diffusion of one-parent families across Italian municipalities, 1991-2011.

This paper documents the expansion of new family patterns in Italy by scrutinising the spatial diffusion of one-parent families across Italian municipalities for the period 1991-2011. We apply a hierarchical Bayesian model to the data of the last three Italian Population Censuses, acknowledging that variation cannot be broken down into temporal and spatial effects because space-time interaction is at the very heart of family changes. Our results illustrate substantial subregional and sub-provincial heterogeneities in the spatial organisation of family systems, patterns that might have gone undetected had larger territorial units of analysis been considered.

Small area estimation for semicontinuous skewed spatial data: an application to the grape wine production in Tuscany.

Linear-mixed models are frequently used to obtain model-based estimators in small area estimation (SAE) problems. Such models, however, are not suitable when the target variable exhibits a point mass at zero, a highly skewed distribution of the nonzero values and a strong spatial structure. In this paper, a SAE approach for dealing with such variables is suggested.