Dongni Zhang
(Linköping University)
16/07/2026, 11:20
Mathematical Epidemiology
Minisymposium Talk
Fernando Saldaña
(INRAE Nantes)
16/07/2026, 11:40
Mathematical Epidemiology
Minisymposium Talk
Francesca Scarabel
(University of Leeds)
16/07/2026, 15:10
Mathematical Epidemiology
Minisymposium Talk
Simone De Reggi
(Università di Trento)
16/07/2026, 15:50
Mathematical Epidemiology
Minisymposium Talk
Tamas Tekeli
(University of Szeged)
16/07/2026, 16:10
Mathematical Epidemiology
Minisymposium Talk
Dongni Zhang
(Linköping University),
Eugenio Valdano
(INSERM),
Fernando Saldaña
(INRAE Nantes),
Francesca Scarabel
(University of Leeds),
Martina Alutto
(KTH),
Simone De Reggi
(Università di Trento),
Tamas Tekeli
(University of Szeged)
Mathematical Epidemiology
Minisymposium
Understanding infectious disease dynamics increasingly requires models that can capture forms of heterogeneity which are invisible to standard population-level compartmental frameworks. Real-world data reveal substantial variation across individuals and groups (e.g., in terms of spatial distribution, age structure, viral-load trajectories, contact patterns, risk exposure, and behavioural...