Learning outcomes of the course unit
Become acquainted with the basic tools for conducting epidemiological analyses and acquire the capacity to process statistically significant data.
Course contents summary
Epidemiology past and present; Definition of epidemiology: concepts and principles; Main measures of disease frequency: incidence, prevalence and other rates; Risk Assessment; Specificity, sensitivity, predictive value of a diagnostic test; Henle-Koch’s and Evans’ Postulates; Demonstration of causality; Transmission and maintenance of infection; Patterns of disease; Modelling; Sampling; Observational, experimental, prospective and retrospective studies; Control and eradication of disease; Epidemic curves; Risk assessment and risk management.
Elementi di metodologia epidemiologica Signorelli C., Societa editrice universo
Igiene e medicina preventiva Barbuti et al., Monduzzi Editore
Epidemiology kept simple Gerstman B., Wiley-Liss
Epidemiologia e valutazione degli interventi sanitari. Francesco Attena. PICCIN
The course consists of 17 hours of lectures combined with 7 hours of practical activities carried out at the Faculty’s computer science lab.