Due to the COVID-19 crisis, the information below is subject to change,
in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
3 credits
15.0 h
Q2
Teacher(s)
Speybroeck Niko;
Language
English
Prerequisites
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
social epidemiology; network analysis; inequalities of health; burden of disease; the analysis of complexity.
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
Learning outcomes will vary, depending on the focus which will be adapted according to current important public health problems asking advanced methods, and according to the expertise and research projects of the lecturer (Vincent Lorant & Niko Speybroeck). Learning outcomes may include:
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Content
The content will include parts of the following:
Social epidemiology
Social epidemiology
- Social network data
- Graphs and matrices
- Centrality, power and social capital
- Exploring networks
- Statistical analysis of network data
- Measures of health inequalities
- Decomposing health inequalities
- The difference between an analysis of health inequalities and an analysis of average health levels
- Classification and Regression Trees
- Simulation Models
- Mathematical Models
- Agent-Based Models
- The Global burden of disease context
- Computing the burden of disease
- Trends analysis of burden of disease
Teaching methods
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
Language: English
Evaluation methods
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
Paper presentation and essay.Language : English
Other information
Language: English
Goal : The course aims to teach the student on understanding and using advanced methods to analyze public health problems. The course is addressing topics such as social epidemiology, the analysis of health inequalities and the burden of disease.
Goal : The course aims to teach the student on understanding and using advanced methods to analyze public health problems. The course is addressing topics such as social epidemiology, the analysis of health inequalities and the burden of disease.
Online resources
Moodle
Bibliography
Social epidemiology:1-4
- Dimaggio P, Garip F. Network effects and social inequality. Annual review of sociology. 2012;38:93-118.
- Oakes JM, Kaufman JS. Methods in social epidemiology. Vol 1st ed. San Francisco, CA: Jossey-Bass; 2006.
- Provan KG, Veazie MA, Staten LK, Teufel-Shone NI. The use of network analysis to strengthen community partnerships. Public Administration Review. 2005;65(5):603-612.
- Valente TW. Social networks and health models, methods, and applications. Oxford: Oxford University Press; 2010.
- Konings P., Harper S., Lynch J., Hosseinpoor A.R., Berkvens D., Lorant V., Geckova A., Speybroeck N. (2010). Analysis of socioeconomic health inequalities using the Concentration Index. International Journal of Public Health, 55, 71-74. [Editor's Choice].
- Speybroeck N., Harper S., De Savigny D., Victora C. (2012). Inequalities of health indicators for policy makers: six hints. International Journal of Public Health, 57, 855-858.
- Speybroeck N., Konings P., Lynch J., Harper S., Berkvens D., Lorant V., Geckova A. Hosseinpoor A.R. (2010). Decomposing socioeconomic health inequalities. International Journal of Public Health, 55, 347-351.
- Van Malderen C., Van Oyen H., Speybroeck N. (2013). Contributing determinants of overall and wealth-related inequality in under-5 mortality in 13 African countries. Journal of Epidemiology & Community Health, 67, 667-676.
- Kanobana K., Devleesschauwer B., Polman K., Speybroeck N. (2013). An agent-based model of exposure to human toxocariasis: a multi-country validation. Parasitology, 140, 986-998.
- Speybroeck N. (2012). Classification and regression trees. International Journal of Public Health, 57, 243-246.
- Speybroeck N., Van Malderen C., Harper S., Müller B., Devleesschauwer B. (2013). Simulation Models for Socioeconomic Inequalities in Health: A Systematic Review. International Journal of Environmental Research and Public Health, 10, 5750-5780
- Devleesschauwer B., Havelaar A., Maertens de Noordhout C., Haagsma J., Praet N., Dorny P., Duchateau L., Torgerson P., Van Oyen H., Speybroeck N. (2014). Calculating Disability-Adjusted Life Years to quantify burden of disease. International Journal of Public Health, 59, 565-569.
- Devleesschauwer B., Havelaar A., Maertens de Noordhout C., Haagsma J., Praet N., Dorny P., Duchateau L., Torgerson P., Van Oyen H., Speybroeck N. (2014). DALY calculation in practice: a stepwise approach. International Journal of Public Health, 59, 571-574.
- Devleesschauwer B., Maertens de Noordhout C, Smit GS, Duchateau L, Dorny P, Stein C, Van Oyen H., Speybroeck N. (2014). Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints. BMC Public Health, 14: 1196.
- Maertens de Noordhout C., Devleesschauwer B., Angulo F., Verbeke G., Kirk M., Havelaar A., Haagsma J., Speybroeck N. (2014). The global burden of Listeriosis: a systematic review and meta-analysis. The Lancet Infectious Diseases, 14, 1073 ' 1082.
Teaching materials
- Mis à disposition sur Moodle
Faculty or entity
FSP
