(via Zoom)
Join us for this seminar by Ginestra Bianconi (Queen Mary) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/
Please contact carl.whitfield@manchester.ac.uk or igor.chernyavsky@manchester.ac.uk for the zoom link, or sign up to the mailing list.
Abstract: In this talk we discuss a variety of mathematical models that provide a theoretical understanding of some of the major scientific questions posed by the current pandemics.
These questions include: Is the duration of an epidemic plateau predictable? To what extent contact tracing apps mitigate the epidemics? How does time-dependent co-location of individuals affect the critical properties of the spreading? What is the role of modular structure of the network in determining the epidemic threshold?
Rather than focusing specifically on the present pandemic we consider these questions as the starting point for improving our mathematical understanding of the fundamental aspects that determine epidemic spreading.
References
1 Radicchi, F. and Bianconi, G., 2020. Epidemic plateau in critical susceptible-infected-removed dynamics with nontrivial initial conditions. Physical Review E, 102(5), p.052309.
2 Bianconi, G., Sun, H., Rapisardi, G. and Arenas, A., 2021. Message-passing approach to epidemic tracing and mitigation with apps. Physical Review Research, 3(1), p.L012014.
3 Bianconi, G., 2017. Epidemic spreading and bond percolation on multilayer networks. Journal of Statistical Mechanics: Theory and Experiment, 2017(3), p.034001.
4 St-Onge, G., Sun, H., Allard, A., Hébert-Dufresne, L. and Bianconi, G., 2021. Bursty exposure on higher-order networks leads to nonlinear infection kernels. arXiv preprint arXiv:2101.07229.
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