Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/126906
Title: | Covid Tracing |
Author: | Querol Marco, Jordi |
Tutor: | Rivera Guevara, Richard |
Abstract: | This final master thesis (FMT) is developed with the aim of creating an application for the Android operating system, which helps to diagnose Covid-19 in early way to anyone who installs it on their mobile device, notify you if at any given time, depending on the distance and time that you have met with other people, you may or don¿t have been exposed to the disease. The methodology to carry out this task is based on respecting the privacy of people, through communication between mobile devices without a previous connection, without transferring sensitive information, and providing the confidence so that, in case they are notified of a possible contagion risk, they can decide for themselves to make a reliable medical diagnosis, which determines whether they have contracted the disease or do not. After carrying out various tests with the results obtained, it has been possible to verify that the application fulfils its functions correctly. Therefore, it does not imply that it can be free of errors, but it is a good starting point to continue improving and innovating. |
Keywords: | Covid Tracing Covid-19 SARS-CoV-2 |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 29-Dec-2020 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
QuerolMarcoJordi_TFM.pdf | Memoria del trabajo final de máster | 657,88 kB | Adobe PDF | View/Open |
QuerolMarcoJordi_TFM.mp4 | Video presentación del trabajo final de máster | 367,65 MB | MP4 | View/Open |
jquerolmarTFM1220memoria.pdf | 617,42 kB | Adobe PDF | View/Open |
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