Module Details

Epidemiology

MC012

Course
Epidemiology
Code
MC012
Academic Year
2024/2025
Curriculum Year
2024/2025
Degree Programme
MEDICINE AND SURGERY
Curriculum
000 - CORSO GENERICO
Course coordinator
Credits
2
Lecture Hours
18
Scientific Disciplinary Sector (SSD)
MED/42 - General and Applied Hygiene
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
1
Teaching period
Secondo Semestre
Campus
NOVARA
Teaching language
Italian
Course Contents
Principles of public health and definition of health determinants ; basic epidemiological methods; epidemiological methods for the study of chrnic diseases, infectious disease and in the implementation of screening programs. Climate change and health
Reference Texts
Manuale di epidemiologia per la sanità pubblica, a cura di F. Faggiano; F. Donato; F. Barboneo. Centro Scientifico Editore.
Rothman. Epidemiology: An Introduction. Oxford press.
Italian version: Rothman. Epidemiologia. Idelson – Gnocchi
Learning Outcomes
KNOWLEDGE AND UNDERSTANDING

To know the most important sources of epidemiological data;

To understand the elements in the design and conduct of the most important types of epidemiological studies;

To know the most important sources of bias in epidemiological studies;

to understand the criteria for characterizing the causality of associations in Medicine;

to know the key features of a systematic review of the scientific literature;

to know the most important determinants of health in Italy and worldwide;
to know the relationship between climate change and health

to know the differences between primary, secondary and tertiary prevention.

APPLYING KNOWLEDGE AND UNDERSTANDING

to be able to calculate measures of frequency and association;

to be able to calculate sensitivity, specificity, and predictive values of a clinical test;

to be able to interpret the results of a meta-analysis;
Prerequisites
None
Teaching Methods
Interactive lectures.
MS-Powerpoint presentations
Additional Information
None
Assessment Methods
Written exam including Single Best Answer, Open ended questions, and numerical exercises. In particular, open ended questions and numerical exercises will evaluate the ability of the student to calculate basic epidemiological measures and the ability of interpreting the results of a meta-analysis.
Detailed Syllabus
General principles of Public Health
Definition of Hygiene and Public Health.
The concept of Health and its evolution over time.

Epidemiological methods for Public Health
Introduction to medical statistics (sources of data; elaboration and presentation of epidemiological data; health indicators: incidence, mortality, prevalence, survival; measures of frequency and association).
Main Epidemiological studies: clinical trials, cohort studies, case-control studies, cross-sectional studies, descriptive studies.
Sources of uncertainty in epidemiology: the role of chance, bias and confounding. Effect modification.
Causal inference in Epidemiology.
Systematic reviews, meta-analyses.
Infectious disease epidemiology
Non-communicable disease epidemiology

Preventive interventions
Primary, secondary and tertiary prevention. Preventive strategies towards individuals and populations. Vaccinations. Screening.

The relationship between climate change and health.
Expected Learning Outcomes
KNOWLEDGE AND UNDERSTANDING
To know the most important sources of epidemiological data. To understand the elements in the design and conduct of the most important types of epidemiological studies. To know the most important sources of bias in epidemiological studies. to understand the criteria for characterizing the causality of associations in Medicine. To know the key features of a systematic review of the scientific literature. to know the most important determinants of health in Italy and worldwide. To know the differences between primary, secondary and tertiary prevention. To understand the relationship between climate change and health.
APPLYING KNOWLEDGE AND UNDERSTANDING
to be able to calculate measures of frequency and association to be able to calculate sensitivity, specificity, and predictive values of a clinical test to able to interpret the results of a meta-analysis.
Last update:09-09-2026 00:14:31