Mass action and contact network models for social mixing in infectious disease transmission modeling

Nele goeyvaerts

Nationality Belgian

Year of selection 2011

Institution Hasselt University

Country Belgium

Risk Health

Post-Doctoral Fellowship

2 years

120000 €

Alert: Contagious Virus Detected

The way people interact is crucial to understand the path taken by a disease in order to assess efficient con-tainment strategies, according to Dr. Nele Goeyvaerts. She will link for the first time two different mathematical models to simulate person-to-person disease spread, one assuming people mix completely and randomly and one where each person becomes a node in a contact network. Her innovative approach may help to improve models of epidemic dynamics and produce effective tools for intervention.
My research focuses on dynamic transmission models for infectious diseases. I am currently working on several topics. One study focuses on modeling the decay of maternal antibodies against measles, mumps, rubella and varicella in infants. Further, I am developing a model for household contact networks that can be used in individual-based models of epidemics. It is important to assess how the assumptions about within-household mixing influence the predicted course of an epidemic. Finally, I am developing a transmission model for seasonal influenza to offer guidance for prioritising influenza vaccine target groups in Belgium.

To add or modify information on this page, please contact us at the following address: