A Study on Comparative Analysis of COVID-19 Datasets

Hamzaj Genc; Dika Zamir; Shabani Isak

doi:10.2478/seeur-2020-0007

SEEU Review (Jul 2020)

A Study on Comparative Analysis of COVID-19 Datasets

Hamzaj Genc,
Dika Zamir,
Shabani Isak

Affiliations

Hamzaj Genc: Faculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North Macedonia
Dika Zamir: Faculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North Macedonia
Shabani Isak: Faculty of Electrical and Computer Engineering, University of Prishtina “Hasan Prishtina”, Prishtina, Kosovo

DOI: https://doi.org/10.2478/seeur-2020-0007
Journal volume & issue: Vol. 15, no. 1
pp. 104 – 120

Abstract

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In December 2019 a virus named COVID-19 appeared in China, precisely in the city of Wuhan. This virus was declared a global pandemic by the World Health Organization in March 2020. Since no adequate medical treatment has yet been discovered for this virus, many world institutions are committed to share with each other the data they collect and process in their laboratories. A large amount of these data is shared with citizens in order to inform about the risk that threaten us by virus COVID-19.

Published in SEEU Review

ISSN: 1409-7001 (Print); 1857-8462 (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Law; Political science: Political science (General)
Website: https://sciendo.com/journal/SEEUR

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