Conoscere le basi teoriche della metodologia statistica applicata ai fenomeni biologici e biomedici. Conoscere i fondamenti dello studio epidemiologico applicato ai fattori di rischio.

Mathematics at secondary school level.

The application fields and main objective of Hygiene will be introduced with emphasis on the role of epidemiological methods and tools. The characteristics of an epidemiological study will be examined starting from the analysis of his aims and structure of the multidisciplinary teams required for design and run it.
In this context, statistical methods in biomedical studies and for the design of randomized clinical trials and observational studies and the essential tools for computer sciences such as principles of ICT, algorithms and Programming, logical neywork, Telecommunications Networks and Internet will be studied.

Faggiano F, Donato F, Barbone F. Applicazioni di Epidemiologia per la Sanità Pubblica. Torino, Centro Scientifico Editore, 2006 ISBN 88-7640-7405.
Faggiano F, Donato F, Barbone F. Manuale di Epidemiologia per la Sanità Pubblica. Torino, Centro Scientifico Editore, 2005 ISBN 88-7640-6182.
Ricciardi W, Angelillo IF, Brusaferro S, De Giusti M, De Vito E, Moscato U, Pavia M, Siliquini R, Villari R. Igiene per le professioni sanitarie. Idelson Gnocchi editore, 2015.
Fowler J, Jarvis P, Chevannes M. Statistica per le professioni sanitarie. 2005, Edises
Campbell MJ, Machin D. Statistica Medica. 2002, Wiley
Armitage P, Berry G. “Statistical Methods in Medical Research”, Third Edition, Blackwell Science. J. Fox “Using the R Commander. A point-and-click interface for R”, 2017, CRC press.

Definition, characteristics and application fields of Hygiene. The study design in epidemiology: methodological differences and application fields of descriptive, analytic and experimental studies. Descriptive epidemiology: tools, measure of exposure and outcomes, data collection and management. The observational studies: cross-sectional, cohort and case control studies. The experimental studies: clinical and preventive trials. The measures of frequency (prevalence, incidence, mortality, morbidity, etc) and association (Relative risk, odds ration). Selection and information Bias, Confounding and Interaction. Screening. Critical approach to results of epidemiological studies
DESCRIPTIVE STATISTICS Tabulation and data processing: numerical and graphical summaries of data. Measures of location and dispersion, quantiles and percentiles. Relationship between two variables: contingency tables, scatter plot, correlation, regression.
PROBABILITY Calculation rules and basic theorems. Probability distributions for discrete and continuous random variables. Binomial and Gaussian distribution.
STATISTICAL INFERENCE Confidence intervals for means and proportions. Significance tests. Inferences from means. Inferences from means and proportions: comparison between two populations.
Foundations of ICT. Encoding Information. Problems, Algorithms and Programming. Boolean Algebra and Logical Networks. Telecommunications Networks and Internet. Office Enterprise Software. Effective Presentations. Online Collaboration

Lectures for the theoretical part will be accompanied by a series of practical examples

The integrated course has three tests for aech of the parts, and then the finbal mark is a weighted average among the tests.

This course explores topics closely related to one or more goals of the United Nations 2030 Agenda for Sustainable Development (SDGs)