Methods to Evaluate Public Health Interventions [ESP82]
Monday to Friday (5 afternoons)
Prof. Frank van Lenthe, Prof. Frank de Vocht
Erasmus MC, Rotterdam NL
Students need a good understanding of basic statistical methods, such as linear regression analysis.
- Public Health
Detailed information about this course:
Faculty: Prof. F.J. van Lenthe, Prof. F. de Vocht
Public health in the next decades faces several challenges, including widening social inequalities, climate change, rapid urbanization, ageing, and perhaps new pandemics. There is an urgent need for knowledge which and how public health interventions can contribute to promote public health in societies.
Single (randomised) interventions are insufficiently capable of solving all of the above-mentioned challenges. Moreover, an explicit focus on the effectiveness of such interventions leaves many policy-relevant questions unanswered.
This course aims to equip students with state-of-the-art knowledge how to evaluate public health interventions that contribute to population health. Specific aims of the course are:
- To apply a systematic framework for public health interventions to contemporary public health challenges
- To use observational data for the simulation of public health interventions
- To evaluate ‘natural experiments’ in the population
- To broaden the scope of the evaluation of public health interventions using a systems approach.
Lectures will be combined with exercises and group discussions. Examples will come from recent evaluations of large contemporary public health interventions.
Please note: this is a new course, there is no content overlap with (previous) ESP courses ESP11 Methods of Public Health Research and ESP61 Social Epidemiology.
Epidemiologists and public health researchers with a specific interest in population interventions and policies.
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system. When submitting the application, you can state that someone else pays your tuition fee.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.