INGLESE

English

1. Objectives and aims of epidemiology applied to clinical medicine and public health;
2. Methods of data gathering for epidemiological purposes;
3. Epidemiological measures of frequency;
4. Epidemiological measures of association;
5. Different designs of epidemiologic studies.

Hennekens and Buring: Epidemiology in Medicine

At the end of the course the student should:
1.Know the objectives and aims of epidemiology applied to clinical medicine and public health;
2.know the methods of data gathering for epidemiological purposes;
3.know the epidemiological measures of frequency;
4. know the epidemiological measures of association;
5. know the different designs of epidemiologic studies.

None

Frontal lessons and discussion with students. The lessons will be divided into three parts. A brief introduction to resume the topics developed in the previous lesson, answers to questions on the topics developed and presentation of new topics.

Evaluation of the student proficiency is based on an oral examination. The oral exam covers all the aspects of Methods in Epidemiology and Preventive Medicine described in the syllabus. During the examination, the student should be able to discuss the topics and be able to connect and analyze the different subjects. The oral exam is aimed at verifying the student’s ability to apply knowledge and methodologies acquired during the course, with particular regard to the specific role that these methods may have in the physician preventive, diagnostic and therapeutic practice. The final grade is expressed in 30/30 where 18 represents the minimum and 30 is the maximum.

Introduction to epidemiology
Definition and objectives of epidemiology
Measures of disease frequency: Prevalence. Cumulative Incidence and Incidence Rate
Measures of association: Relative Risk, Odds Ratio, Attributable risk, Attributable risk %, Population Attributable risk (PAR), PAR %.
Descriptive and ecological studies
Surveillance
Cross-sectional studies
Sampling
Cohort studies
Case-control Studies
Bias in epidemiological studies: selection bias, misclassification, confounding