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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/A8B4E3C5-86D4-4B4F-A9FE-D5E6375A52FF | ||
| Year | 2022 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Michail Chatzinikolaou, "Estimating epidemiological parameters on population networks", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022 https://doi.org/10.26233/heallink.tuc.93979 | ||
| Appears in Collections |
The COVID-19 pandemic gave rise to an increase of research related to its epidemiology. Simultaneously, efforts were made to quantify data related to the epidemic. This thesis is an attempt to model networks of populations with various epidemiological parameters and try to calculate those parameters given the outcome of the epidemic. The first part of the experiment consists of the implementation of the model, while the second part is the attempt to calculate the parameters on artificial data created by said network. Finally, the sensitivity of the methods uses is tested against added noise.Given a network of self-contained populations as node, the daily travel between the nodes and the progress of the epidemic on each node, we can estimate the epidemiological parameters of the node. This shows that interference from travel of infected individuals to nodes affects the estimation of epidemiological parameters of the node only for relatively large population values of such individuals.
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