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https://hdl.handle.net/2445/180404
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 |
URI: | https://hdl.handle.net/2445/180404 |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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MECA MONTSERRAT ADRIÀ_3085509_assignsubmission_file_TFG-Meca-Montserrat-Adria.pdf | 613.19 kB | Adobe PDF | View/Open |
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