| Tartalom: |
http://hdl.handle.net/10831/73701 |
| Archívum: |
EDIT |
| Gyűjtemény: |
Szakdolgozatok
Szakdolgozatok (TTK)
Szakdolgozatok (Fizikai Intézet)
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| Cím: |
What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure
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| Létrehozó: |
Koppány Budai
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| Közreműködő: |
Anna Zafeiris
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| Dátum: |
2021-05-29
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| Téma: |
infection models
agent-based model
disease progression
simulation
szakdolgozat
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| Tartalmi leírás: |
In the thesis toy models, agent-based models, infection models and network structure is described first. Then the simulation that the thesis is based on is described in detail. An agent-based toy model was used to gather data on how disease progression changes according to certain parameters. The data from the simulations is analyzed and conclusions are drawn.
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| Nyelv: |
angol
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| Típus: |
info:eu-repo/semantics/bachelorThesis
hallgatói dolgozat
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| Formátum: |
application/pdf
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| Azonosító: |
elte:HBWU0L
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| Létrehozó: |
info:eu-repo/semantics/closedAccess
|
