Two months ago Lander Willem and I organized the first edition of the short course “Individual-based modelling in epidemiology: A practical introduction”. The feedback at the end of the course was overwhelmingly positive, which left us feeling empowered and encouraged to not leave it at this first edition. Participants of the next edition should expect an even more hands-on course, with more time to acquire skills in developing, exploring and fitting individual-based models.
Participants of this one-week summer school 2014 at Ghent University Hospital, Belgium, will be introduced to the field of statistical analysis of network data, with an emphasis of model applications in health research. After a brief review of traditional compartmental (SIR) models and the methodology for classical descriptive network analysis, (static) Exponential family Random Graph Models (ERGMs) and dynamic temporal ERGMS will be introduced. Stochastic Actor Oriented Models (SAOMs) offer an alternative approach to model the evolution of a network, and the changes in actor attributes.
The South African Centre for Epidemiological Modelling (SACEMA) invites applications to the fourth annual Clinic on the Meaningful Modelling of Epidemiological Data. This two-week modelling clinic, mounted in collaboration with the International Clinics on Infectious Disease Dynamics and Data (ICI3D) Program, and the African Institute for Mathematical Sciences (AIMS), will emphasize the use of data in understanding Read More
SACEMA, in collaboration with Dr. Matthew Fox of Boston University’s Department of Epidemiology and Center for Global Health and Development (CGHD), is holding a five-day short-course on advanced epidemiologic methods from 15 August to 19 August 2011 in Stellenbosch. Introductory and intermediate courses in epidemiological methods teach students the concepts needed to begin a career Read More