What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure
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 da...
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edit-10831-737012022-09-13T10:33:25Z What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure Koppány Budai Anna Zafeiris infection models agent-based model disease progression simulation szakdolgozat INST: L_200 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. 2021-05-29 info:eu-repo/semantics/bachelorThesis hallgatói dolgozat http://hdl.handle.net/10831/73701 elte:HBWU0L eng info:eu-repo/semantics/closedAccess application/pdf LOMS: https://edit.elte.hu/xmlui/bitstream/10831/73701/2/1206447590.pdf |
| institution |
L_EDIT L_200 |
| language |
English |
| topic |
infection models agent-based model disease progression simulation szakdolgozat |
| spellingShingle |
infection models agent-based model disease progression simulation szakdolgozat Koppány Budai What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure |
| topic_facet |
infection models agent-based model disease progression simulation szakdolgozat |
| description |
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. |
| author_additional |
Anna Zafeiris |
| format |
Thesis |
| physical |
application/pdf |
| author |
Koppány Budai |
| author_facet |
Koppány Budai |
| title |
What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure |
| title_short |
What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure |
| title_full |
What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure |
| title_fullStr |
What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure |
| title_full_unstemmed |
What can we learn from infection toy models? The effects of mortality rate, progression of disease and network structure |
| title_sort |
what can we learn from infection toy models? the effects of mortality rate, progression of disease and network structure |
| publishDate |
2021-05-29 |
| publishDateSort |
2021 |
| url |
http://hdl.handle.net/10831/73701 |
| first_indexed |
2022-09-13T10:33:25Z |
| last_indexed |
2023-09-01T11:18:29Z |
| _version_ |
1775826276234297344 |
| score |
13,384138 |