Speaker
Description
While realistic approaches have become increasingly important in epidemic modelling, behavioral factors and individual differences have historically been overlooked due to the lack of high-resolution data and appropriate mathematical methods. This gap became particularly evident during the recent pandemic, highlighting the need for large-scale data collection on individual-level epidemic-related behaviors across representative populations. These advancements have revealed several new and interesting spreading phenomena that challenge our previous understandings. In this talk, we will focus on two examples of such new insights, derived from data-driven and behavior-informed epidemic models. We will explore input-output inequalities in spreading dynamics \cite{Manna2024NatComms, Manna2024SciAdv}, and the paradoxical effects of awareness-driven adaptive behavior on epidemic outcomes \cite{Kolok2025PRR}. These findings highlight the role of behavioral factors, offering a more accurate understanding and modelling of real-world epidemic scenarios.
Bibliography
@article{Manna2024NatComms,
author = {Manna, A. and Koltai, J. and Karsai, M.},
title = {Importance of social inequalities to contact patterns, vaccine uptake, and epidemic dynamics},
journal = {Nature Communications},
volume = {15},
number = {1},
pages = {4137},
year = {2024}
}
@article{Manna2024SciAdv,
author = {Manna, A. and Dall'Amico, L. and Tizzoni, M. and Karsai, M. and Perra, N.},
title = {Generalized Contact Matrices Allow Integrating Socio-economic Variables into Epidemic Models},
journal = {Science Advances},
volume = {10},
number = {41},
year = {2024}
}
@article{Kolok2025PRR,
author = {Kolok, Cs. and {\'O}dor, G. and Keliger, D. and Karsai, M.},
title = {Epidemic paradox induced by awareness driven network dynamics},
journal = {Physical Review Research},
volume = {7},
number = {1},
pages = {L012061},
year = {2025}
}
