Learning objectives
Become acquainted with the basic tools for conducting epidemiological analyses and acquire the capacity to process statistically significant data.
Prerequisites
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Course unit content
<p>Epidemiology</p>
<ul>
<li>
<div>Epidemiology past and present; </div>
</li>
<li>
<div>Definition of epidemiology: concepts and principles; </div>
</li>
<li>
<div>Main measures of disease frequency: incidence, prevalence and other rates; </div>
</li>
<li>
<div>Risk Assessment; </div>
</li>
<li>
<div>Specificity, sensitivity, predictive value of a diagnostic test; </div>
</li>
<li>
<div>Henle-Koch’s and Evans’ Postulates; </div>
</li>
<li>
<div>Demonstration of causality; </div>
</li>
<li>
<div>Transmission and maintenance of infection; </div>
</li>
<li>
<div>Patterns of disease; </div>
</li>
<li>
<div>Modelling; Sampling; </div>
</li>
<li>
<div>Observational, experimental, prospective and retrospective studies; </div>
</li>
<li>
<div>Control and eradication of disease; </div>
</li>
<li>
<div>Epidemic curves; </div>
</li>
<li>
<div>Risk assessment and risk management. </div>
</li>
</ul>
Full programme
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Bibliography
<p><br />
<br />
Elementi di metodologia epidemiologica Signorelli C., Societa editrice universo <br />
Igiene e medicina preventiva Barbuti et al., Monduzzi Editore <br />
Epidemiology kept simple Gerstman B., Wiley-Liss </p>
<p>Epidemiologia e valutazione degli interventi sanitari. Francesco Attena. PICCIN <br />
</p>
Teaching methods
The course consists of 17 hours of lectures combined with 7 hours of practical activities carried out at the Faculty’s computer science lab.
Assessment methods and criteria
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Other information
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2030 agenda goals for sustainable development
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