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undergraduate thesis
Statističko i računalno modeliranje širenja pandemije COVID-19
2020. urn:nbn:hr:137:781096
Gabrovec, Marko
University of Pula
Faculty of Informatics in Pula

Cite this document

Gabrovec, M. (2020). Statističko i računalno modeliranje širenja pandemije COVID-19 (Undergraduate thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:781096

Gabrovec, Marko. "Statističko i računalno modeliranje širenja pandemije COVID-19." Undergraduate thesis, University of Pula, 2020. https://urn.nsk.hr/urn:nbn:hr:137:781096

Gabrovec, Marko. "Statističko i računalno modeliranje širenja pandemije COVID-19." Undergraduate thesis, University of Pula, 2020. https://urn.nsk.hr/urn:nbn:hr:137:781096

Gabrovec, M. (2020). 'Statističko i računalno modeliranje širenja pandemije COVID-19', Undergraduate thesis, University of Pula, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:137:781096

Gabrovec M. Statističko i računalno modeliranje širenja pandemije COVID-19 [Undergraduate thesis]. Pula: University of Pula; 2020 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:137:781096

M. Gabrovec, "Statističko i računalno modeliranje širenja pandemije COVID-19", Undergraduate thesis, University of Pula, Pula, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:137:781096

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Metadata
TitleStatističko i računalno modeliranje širenja pandemije COVID-19
Title (english)Statistical and Computational Modeling of the Spread of the COVID-19 Pandemic
AuthorMarko Gabrovec
MentorSiniša Miličić (mentor)
Committee memberNikola Tanković (predsjednik povjerenstva)
Committee memberSiniša Miličić (član povjerenstva)
Committee memberDarko Etinger (član povjerenstva)
GranterUniversity of Pula
(Faculty of Informatics in Pula)
Pula
Defense date and country2020-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
Ovaj rad modelira potencijski odnos novooboljelih i aktivnih bolesnika svjetske pandemije COVID-19 virusa te utvrđuje prosjek pogreške osnovnog SIR modela za promatrane 2 skupine. Za te potrebe rad prvo daje kratko objašnjenje epidemioloških pojmova koja se promatraju te statističkih alata koji se koriste.
Abstract (english)
This paper models the exponential relationship between newly ill and actively ill from the COVID-19 virus pandemic and determines the mean error of the basic SIR model for the 2 viewed groups. To that end, the paper first briefly explains the epidemiological terms that are being observed and the statistical tools that are used.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:781096
Study programmeTitle: Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-04-27 16:47:11