SOC Epidemiologia – Servizio Sovrazonale di Epidemiologia

The operative epidemiological unit (Servizio Sovrazonale di Epidemiologia) has the aim to sustain the various activities of the network, providing methodological support to the creation of shared cards for recording information, methodological support to the standardization of techniques and coding for recording information, quality evaluation of data, methodological support to the analysis of produced data, and quality assessment of the studies about the evaluation of health interventions.


Key staff of the partner

Dr. Di Pietrantonj Degree in Mathematics, Genova University (1992). Specialized in Medical Statistics, Pavia University (1997). MSc in Methodology of Systematic Reviews, Milano University (2002). Since 1993 I have a collaboration with Institute of Hygiene and Preventive Medicine of Genova University, to perform mathematical models to identify extra mortality events during influenza epidemics, statistical evaluation of vaccine effectiveness and other statistical tasks. For these I employ univariate and multivariate, data analysis (multiple regression, logistic, loglinear models and analysis of variance). I have studied Principal Component Analysis and related methods (as Correspondence Analysis, Homogeneity Analysis and Cluster Analysis) in the Department of Medical Statistics at Pavia University; where I taught SPSS Base System. I was an Honorary Lecturer in Statistics at the Department of Applied Health Science (1996-1997). From January 1997 to May 1999, I was employed by a in private Italian company, where my tasks was to apply multivariate methodological solution to the analysis of Italian National Health System data and other epidemiological data. Since June 1999 I have working as statistician at the Epidemiology Unit of the Piemonte Region (Italy) and as statistical adviser to the Cochrane Vaccines Field. Since 2009 Statistical Editor to the Multiple Sclerosis Cochrane Review Group. I have skills in the use of SAS System, SPSS, STATA, RevMan, EPI INFO, SPAD and EpiData.