Peter H. F. Hobbelen

The paper develops a framework integrating behavioural science and epidemiology to improve early detection of zoonotic swine influenza by simulating farmer responses and disease spread.

This study uses an in vitro model and mathematical modeling to quantify fitness parameters of HPAI clade 2.3.4.4 viruses in chicken and duck cells.

This study optimizes Salmonella surveillance programs by using local farm density as a risk factor, reducing sampling effort by 32% while maintaining control of Enteritidis and Typhimurium.