Ateneo - UPO

The Integrated Course (IC) consists of three partially complementary lessons: General epidemiology and applied to the clinical context, Descriptive and inferential statistics, Basic computer science.

1) Epidemiology: Manuale di epidemiologia per la sanità pubblica, a cura di F. Faggiano; F. Donato; F. Barboneo. Centro Scientifico Editore.
Rothman. Epidemiologia. Idelson-Gnocchi
2) Medical statistics: WW. Daniel, CL Cross. Biostatistica, Edises. Altro testo: Triola MM, Triola MF. Fondamenti di Statistica per le discipline biomediche, Pearson
3) Computer science: Curtin, Foley, Sen, Morin, Informatica di base, 6e. McGraw-Hill Education

The transversal educational objectives of the IC consist in defining the principles of epidemiology, statistical analysis of epidemiological data and their organization through databases.

Basic mathematics for epidemiology and statistics. No specific knowledge is required for Basic computer science.

The three IC teachings adopt the following common teaching methods: Interactive Lectures with Presentations in MS-Power Point format (made available to students through DIR), use of tools for student involvement (also through the use of mobile phones), and for self-assessment (quiz on-line with feedback). Practical lessons and exercises also with the support of the e-learning platform (study in self-learning mode). Some exercises are designed in such a way as to create a link with the other modules of the integrated course.

Specific exercises are planned on the topics covered in each of the CI's teachings.
Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/services-students-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

The three IC teachings adopt the modality of the written exam test. The test is based on closed questions, open questions, calculation exercises and interpretation of the results. To access the written test, the student must pass a practical computer test consisting of exercises and questions made available on the DIR platform. The final grade is determined taking into account the achievement of the expected learning results of all the modules of the integrated course.

Definition of the constituent elements of the epidemiology (general and clinical)
Calculation and interpretation of the following measures: prevalence, cumulative incidence, incidence density. Calculation and interpretation of: raw rates, specific rates
Calculation and interpretation of association measures (relative risk, odds ratio, attributable risk).
Estimation of agreement between and intra observers (calculation and interpretation of the clinical agreement).
Evaluation of the validity of a diagnostic test (calculation and interpretation of sensitivity, specificity, predictive values of a test).
Application of epidemiological tools to diagnosis, prognosis and treatment.
Frequency distributions and graphical representation of variables
Measures of central tendency and variability
The basic concepts of probability
Stochastic independence, conditional probability
The probability distribution: the binomial and Gaussian distribution
The notions of sample and sample space
The sampling distributions: the distribution of the sample mean, of the difference between two sample averages and of the sample proportion
The concepts of punctual and interval estimation
The main tests of significance: the hypothesis testing on an average, on the difference between
averages, on a proportion
The concept of first and second species error and power of a statistical test
The Chi-square test
Correlation and simple linear regression
Introduction and basic elements of computer science
Calculator and peripherals
The software
IT and communication
Databases
EXCEL
ACCESS

At the end of the course the student must have acquired the knowledge and full understanding of the topics deriving from the achievement of the educational objectives of each of the three teachings of the IC.
Knowledge and understanding: conduct an effective epidemiological investigation and use the appropriate statistical methods for data analysis. Knowing how to model reality and organize data through a spreadsheet or a relational database taking into account the requirements in terms of storage space, data transmission speed, security and privacy.
Ability to apply knowledge and understanding: apply the main models of observational and experimental studies in the epidemiological field. Ability to identify, quantify and evaluate the main risk factors and health promotion of the population and to use in the epidemiological survey the main epidemiological measures of diagnosis, prognosis and therapy. Knowing how to solve and interpret exercises related to data analysis. Ability to concretely realize a database using current applications.
Making judgments: acquiring autonomy of judgment in conducting the analysis of data obtained from epidemiological studies by proposing appropriate solutions.
Communication skills: being able to describe the data and the results obtained from the statistical processing of epidemiological surveys through diagrams, tables, graphs. Knowing how to illustrate through the appropriate models the methodology used for data organization.
Learning skills: being able to study in depth themes of epidemiology, statistical analysis of data and organization of the same. Ability to learn independently how to use new IT tools.