Unit INTRODUCTORY SCIENCES FOR COMMUNITY PREVENTION AND DIAGNOSIS

COMPUTER SCIENCE

Code	GP003880
CFU	2
Teacher	Giampaolo Sanchini
Teachers	Giampaolo Sanchini
Hours	20 ore - Giampaolo Sanchini
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	INF/01
Type of study-unit	Obbligatorio (Required)

EPIDEMIOLOGICAL METHODOLOGY

Code	GP003881
CFU	2
Teacher	Chiara De Waure
Teachers	Chiara De Waure
Hours	20 ore - Chiara De Waure
Learning activities	Caratterizzante
Area	Scienze interdisciplinari cliniche
Academic discipline	MED/42
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	Definition and objective of the epidemiology. Measures of occurrence and association. Introduction to study design. Observational and experimental study designs. Bias. Meta-analysis
Reference texts	Ricciardi W, Boccia S [Editors]. Igiene - Medicina preventiva - Sanita' pubblica. Idelson Gnocchi 2021
Educational objectives	The aim of the course is to provide students with the knowledge and skills to produce robust evidence and to critical appraise the evidence within the health sector.
Prerequisites	Knowledge of secondary school mathematics and biology
Teaching methods	Lectures and exercises
Learning verification modality	Written test
Extended program	Definition and objective of the epidemiology: origins, development and fields of application. Measures of occurrence: meaning and calculation of prevalence and incidence measures. Measure of association: meaning and calculation of risk ratio and odds ratio. Introduction to study design: general characteristics and applications of different study designs. Observational study designs: requisites, characteristics and stages of implementation of cross-sectional studies, cohort studies and case-control studies. Experimental study designs: requisites, characteristics and stages of implementation of trials. Random and systematic errors: definition, consequences and methods of their control. Meta-analysis: objective, applications and stages of implementation of systematic reviews and meta-analyses.

MEDICAL STATISTICS

Code	GP003879
CFU	2
Teacher	Chiara De Waure
Teachers	Chiara De Waure
Hours	20 ore - Chiara De Waure
Learning activities	Base
Area	Scienze propedeutiche
Academic discipline	MED/01
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	Descriptive statistics: data synthesis and presentation. Inferential statistics: confidence interval and statistical tests. Introduction to regression analysis.
Reference texts	agano M, Gauvreau K. Biostatistica. Idelson-Gnocchi 2003 Fowler J, Jarvis P, Chevannes M. Statistica per le professioni sanitarie. Edises 2005 Ricciardi W, Boccia S [Editors]. Igiene - Medicina preventiva - Sanita' pubblica. Idelson Gnocchi 2021
Educational objectives	The aim of the course is to provide students with the knowledge and skills to synthetize, represent, analyse and interpret health data.
Prerequisites	Knowledge of secondary school mathematics
Teaching methods	Lectures and exercises
Learning verification modality	Written test
Extended program	Objective of the statistics and classification of the variables (quantitative and qualitative). Descriptive statistics: representation of data through graphs (pie and bar charts, histograms, frequency polygon, linear graphs, box plot, scatter plot) and tables; measure of central tendency (mean, median, mode) and of variability (variance, standard deviation, range, interquartile range). Probability distributions and meaning and calculation of the confidence intervals. Inferential statistics: stages of the hypothesis testing and statistical errors (type 1 and type 2 errors); statistical tests for quantitative variables (parametric and non-parametric tests for the comparison of two or more groups); statistical tests for qualitative variables; analysis of correlation.