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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/180404
Dynamic message-passing approach to epidemic spreading
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In this work, we delve into the analysis of the propagation of infectious diseases described by the SIR epidemiological model on networks whose connections change over time. We use a fast dynamic message-passing method to estimate the marginal probabilities that each node in one of these networks is in a given state at a certain time. After testing the validity of the predictions given by this approach, we apply them to the problem of inferring the origin of an epidemic on a dynamic network.
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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Matteo Palassini
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MECA MONTSERRAT, Adrià. Dynamic message-passing approach to epidemic spreading. [consulted: 18 of June of 2026]. Available at: https://hdl.handle.net/2445/180404