A Study on Comparative Analysis of COVID-19 Datasets

A Study on Comparative Analysis of COVID-19 Datasets

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 sh...

Full description

Bibliographic Details
Main Authors: Hamzaj Genc, Dika Zamir, Shabani Isak
Format: Article
Language:English
Published: Sciendo 2020-07-01
Series:SEEU Review
Subjects:
covid-19
datasets
data dimensions
open data
Online Access:https://doi.org/10.2478/seeur-2020-0007
id doaj-4c9fe76c8e494f5caafdde906ceedc60
record_format Article
spelling doaj-4c9fe76c8e494f5caafdde906ceedc602021-09-05T14:01:51ZengSciendoSEEU Review1857-84622020-07-0115110412010.2478/seeur-2020-0007seeur-2020-0007A Study on Comparative Analysis of COVID-19 DatasetsHamzaj Genc0Dika Zamir1Shabani Isak2Faculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North MacedoniaFaculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North MacedoniaFaculty of Electrical and Computer Engineering, University of Prishtina “Hasan Prishtina”, Prishtina, KosovoIn 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.https://doi.org/10.2478/seeur-2020-0007covid-19datasetsdata dimensionsopen data
collection DOAJ
language English
format Article
sources DOAJ
author Hamzaj Genc
Dika Zamir
Shabani Isak
spellingShingle Hamzaj Genc
Dika Zamir
Shabani Isak
A Study on Comparative Analysis of COVID-19 Datasets
SEEU Review
covid-19
datasets
data dimensions
open data
author_facet Hamzaj Genc
Dika Zamir
Shabani Isak
author_sort Hamzaj Genc
title A Study on Comparative Analysis of COVID-19 Datasets
title_short A Study on Comparative Analysis of COVID-19 Datasets
title_full A Study on Comparative Analysis of COVID-19 Datasets
title_fullStr A Study on Comparative Analysis of COVID-19 Datasets
title_full_unstemmed A Study on Comparative Analysis of COVID-19 Datasets
title_sort study on comparative analysis of covid-19 datasets
publisher Sciendo
series SEEU Review
issn 1857-8462
publishDate 2020-07-01
description 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.
topic covid-19
datasets
data dimensions
open data
url https://doi.org/10.2478/seeur-2020-0007
work_keys_str_mv AT hamzajgenc astudyoncomparativeanalysisofcovid19datasets
AT dikazamir astudyoncomparativeanalysisofcovid19datasets
AT shabaniisak astudyoncomparativeanalysisofcovid19datasets
AT hamzajgenc studyoncomparativeanalysisofcovid19datasets
AT dikazamir studyoncomparativeanalysisofcovid19datasets
AT shabaniisak studyoncomparativeanalysisofcovid19datasets
_version_ 1717809488104259584

Similar Items