Infezione da virus dell'epatite E nel suino e nell'uomo: aggiornamento sulle metodiche diagnostiche di laboratorio

The first part of the thesis is a brief review on the most important aspects of HEV infection in human and swine, followed by an update on the laboratory techniques currently in use for the diagnosis of HEV infections in humans and animals. The second part refers on the results of two investigations carried out on the presence of HEV infection in swine farms in Toscana and Piemonte and on the presence of HEV infection in pigs and humans in some rural communities in Bolivia. HEV strains isolated from swine herds in Toscana and Piemonte were all included in the genotype 3, showing particular homology with Dutch porcine isolates, Spanish porcine and human isolates and British human isolates. The investigation carried out, with a random sampling, in the province of Cuneo, detected HEV infection with a prevalence of 46% on farms with a number of pigs greater than 500. HEV was detected in pigs and humans in rural communities in Bolivia and all the viral isolate were included in the genotype 3. Aminoacidic homology of human and swine isolates was estimated to be 92%. Results on the development of a Real Time RT-PCR to detect HEV are also reported. The used Real Time RT-PCR protocols, one step and two steps, exhibited good sensitivity to detect several Italian swine HEV strains with high rate of genetic variability.

Employing Distances in Design-based Spatial Estimation

In the last couple of decades we assisted to a reappraisal of spatial design-based techniques. Usually the spatial information regarding the spatial location of the individuals of a population has been used to develop efficient sampling designs. This thesis aims at offering a new technique for both inference on individual values and global population values able to employ the spatial information available before sampling at estimation level by rewriting a deterministic interpolator under a design-based framework. The achieved point estimator of the individual values is treated both in the case of finite spatial populations and continuous spatial domains, while the theory on the estimator of the population global value covers the finite population case only. A fairly broad simulation study compares the results of the point estimator with the simple random sampling without replacement estimator in predictive form and the kriging, which is the benchmark technique for inference on spatial data. The Monte Carlo experiment is carried out on populations generated according to different superpopulation methods in order to manage different aspects of the spatial structure. The simulation outcomes point out that the proposed point estimator has almost the same behaviour as the kriging predictor regardless of the parameters adopted for generating the populations, especially for low sampling fractions. Moreover, the use of the spatial information improves substantially design-based spatial inference on individual values.