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Title: Dynamic message-passing approach to epidemic spreading
Author: Meca Montserrat, Adrià
Director/Tutor: Palassini, Matteo
Keywords: Malalties infeccioses
Anàlisi dinàmica de xarxes
Treballs de fi de grau
Communicable diseases
Dynamic network analysis
Bachelor's theses
Issue Date: Feb-2021
Abstract: 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.
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Matteo Palassini
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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