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master's thesis
Analiza podataka o COVID-19 pandemiji
Rijeka: University of Rijeka, Faculty of Engineering, 2023. urn:nbn:hr:190:703415
Vratović, Chiara
University of Rijeka
Faculty of Engineering

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

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Vratović, C. (2023). Analiza podataka o COVID-19 pandemiji (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:703415

Vratović, Chiara. "Analiza podataka o COVID-19 pandemiji." Master's thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:703415

Vratović, Chiara. "Analiza podataka o COVID-19 pandemiji." Master's thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:703415

Vratović, C. (2023). 'Analiza podataka o COVID-19 pandemiji', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 02 May 2024, https://urn.nsk.hr/urn:nbn:hr:190:703415

Vratović C. Analiza podataka o COVID-19 pandemiji [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2023 [cited 2024 May 02] Available at: https://urn.nsk.hr/urn:nbn:hr:190:703415

C. Vratović, "Analiza podataka o COVID-19 pandemiji", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:190:703415

Metadata
TitleAnaliza podataka o COVID-19 pandemiji
Title (english)Analysis of COVlD-19 pandemic data
AuthorChiara Vratović
MentorZoran Čarija (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberJerko Škifić (član povjerenstva)
Committee memberZoran Čarija (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2023-07-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj diplomski rad pruža analizu podataka o COVID-19 s ciljem razumijevanja pandemije. Istraživanje je obuhvatilo usporedbu podataka iz 2020., 2021. i 2022. godine te analizu trenutnog stanja pandemije u Hrvatskoj i svijetu u 2023. godini. Rezultati su otkrili varijacije u broju slučajeva, smrtnosti i stopama cijepljenja tijekom vremena. Evaluacija modela predviđanja pružila je uvide u njihovu točnost i pouzdanost. Zaključci ističu potrebu za kontinuiranim praćenjem podataka i informiranim odlukama temeljenim na njima.
Abstract (english)
This master’s thesis provides an analysis of COVID-19 data with the aim of understanding the pandemic. The research included a comparison of data from 2020, 2021, and 2022, as well as an analysis of the current state of the pandemic in Croatia and the world in 2023. The results revealed variations in the number of cases, mortality rates, and vaccination rates over time. The evaluation of prediction models provided insights into their accuracy and reliability. The conclusions highlight the need for ongoing data monitoring and informed decision-making based on them.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:703415
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-07-19 06:57:28