Unit INTRODUCTORY SCIENCES FOR COMMUNITY PREVENTION AND DIAGNOSIS
- Course
- Environment and workplace prevention techniques
- Study-unit Code
- GP003866
- Curriculum
- In all curricula
- CFU
- 6
- Course Regulation
- Coorte 2020
- Offered
- 2020/21
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa integrata
COMPUTER SCIENCE
Code | GP003880 |
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CFU | 2 |
Teacher | Giampaolo Sanchini |
Teachers |
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Hours |
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Learning activities | Base |
Area | Scienze propedeutiche |
Academic discipline | INF/01 |
Type of study-unit | Obbligatorio (Required) |
EPIDEMIOLOGICAL METHODOLOGY
Code | GP003881 |
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CFU | 2 |
Teacher | Chiara De Waure |
Teachers |
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Hours |
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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 | In Ricciardi W, et al. [Editors]. Igiene, medicina preventiva, sanità pubblica. Idelson Gnocchi 2013 |
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 |
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. Measure of impact: meaning and calculation of attributable risks. 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 |
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CFU | 2 |
Teacher | Chiara De Waure |
Teachers |
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Hours |
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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, et al. [Editors]. Igiene, medicina preventiva, sanità pubblica. Idelson Gnocchi 2013 |
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. Introduction to regression analysis. |