| Autor: |
Loïs Vanhée, Maarten Jensen, Frank Dignum, Fabian Lorig |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Computational Social Sciences ISBN: 9783030763961 |
| DOI: |
10.1007/978-3-030-76397-8_7 |
| Popis: |
The general idea of tracking and tracing apps is that they track the contacts of users so that in case a user tests positive for COVID-19, all the other users that she has been in contact with get a warning signal that they have potentially been in contact with the COVID-19 virus. This is, to quarantine potential carriers of the virus even before they show symptoms. We set up a scenario in which we test the effects the introduction of such an app has on the dynamics of infection with varying amounts of app users. Running the experiments resulted in a slightly lower peak of infections for higher app usages and the total amount of infected individuals over the course of the whole run decreased not more than 10% in any case. The app seems mainly effective in decreasing contacts and infections in public spaces (except hospitals) while increasing the contacts and infections at home. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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