Advanced methods in public health : seminar

wfsp2201  2018-2019  Bruxelles Woluwe

Advanced methods in public health : seminar
3 crédits
15.0 h
Q2
Enseignants
Lorant Vincent; Speybroeck Niko coordinateur;
Langue
d'enseignement
Anglais
Préalables
A course on linear and logistic regression models is a need to follow this course. R (free downloadable software) will be used in some of the analyses and it is an advantage to master the basics of this software.
WFSP 2100 WFSP 2104 FSP2105 ANGLAIS

Le(s) prérequis de cette Unité d’enseignement (UE) sont précisés à la fin de cette fiche, en regard des programmes/formations qui proposent cette UE.
Acquis
d'apprentissage

A la fin de cette unité d’enseignement, l’étudiant est capable de :

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:

  1. Understanding and using  main concepts in social epidemiology and network analysis in a public health context
  2. Understanding and being able to conduct the analysis of health inequalities or social network analysis studies
  3. Understanding burden of disease calculations and their use
  4. Understanding the analysis of complexities in public health through simulation models and classification and regression trees
 

La contribution de cette UE au développement et à la maîtrise des compétences et acquis du (des) programme(s) est accessible à la fin de cette fiche, dans la partie « Programmes/formations proposant cette unité d’enseignement (UE) ».
Contenu
The content will include parts of the following:
                Social epidemiology
  1. Social network data
  2. Graphs and matrices
  3. Centrality, power and social capital
  4. Exploring networks
  5. Statistical analysis of network data
                The analysis of health inequalities
  1. Measures of health inequalities
  2. Decomposing health inequalities
  3. The difference between an analysis of health inequalities and an analysis of average health levels
                Analysis of complexities in public health
  1. Classification and Regression Trees
  2. Simulation Models
  3. Mathematical Models
  4. Agent-Based Models
                Analysis of burden of disease
  1. The Global burden of disease context
  2. Computing the burden of disease
  3. Trends analysis of burden of disease
Méthodes d'enseignement
Language: English
Cette activité d'enseignement est donnée une année sur deux par le Pr V. Lorant et une année sur deux par le Pr N. Speybroeck
Modes d'évaluation
des acquis des étudiants
Paper presentation and essay.
Language : English
Autres infos
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.  
Ressources
en ligne
Moodle
Bibliographie
Social epidemiology:1-4
  1. Dimaggio P, Garip F. Network effects and social inequality. Annual review of sociology. 2012;38:93-118.
  2. Oakes JM, Kaufman JS. Methods in social epidemiology. Vol 1st ed. San Francisco, CA: Jossey-Bass; 2006.
  3. 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.
  4. Valente TW. Social networks and health models, methods, and applications. Oxford: Oxford University Press; 2010.
The analysis of health inequalities
  1. 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].
  2. 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.
  3. 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.
  4. 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.
Analysis of complexities in public health
  1. 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.
  2. Speybroeck N. (2012). Classification and regression trees. International Journal of Public Health, 57, 243-246.
  3. 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
The analysis of disease burden
  1. 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.
  2. 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.
  3. 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.
  4. 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.
Faculté ou entité
en charge
FSP


Programmes / formations proposant cette unité d'enseignement (UE)

Intitulé du programme
Sigle
Crédits
Prérequis
Acquis
d'apprentissage
Master [120] en sciences de la santé publique
ESP2M
3
WFSP2100 ET WFSP2104 ET WFSP2105
Master [120] en statistique, orientation biostatistiques
BSTA2M
3
Master [60] en sciences biomédicales
SBIM2M1
3
Master [120] en sciences biomédicales
SBIM2M
3