Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/48648Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.date.accessioned | 2026-02-27T14:42:59Z | - |
| dc.date.available | 2026-02-27T14:42:59Z | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2026-02-27T14:40:48Z | - |
| dc.identifier.citation | Zenodo. 10.5281/zenodo.15533888 https://zenodo.org/doi/10.5281/zenodo.15533888 | - |
| dc.identifier.uri | http://hdl.handle.net/1942/48648 | - |
| dc.description.abstract | This repository is created based on the manuscript: Capturing the spatiotemporal spread of COVID-19 in 30 European countries during 2020 – 2022 Authors: Thi Huyen Trang Nguyen (1), Niel Hens (1,2), Christel Faes (1) Contact email: thihuyentrang.nguyen@uhasselt.be Affiliation:(1) Data Science Institute, I-BioStat, Hasselt University, BE-3500 Hasselt, Belgium(2) Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, BE-2000 Antwerpen, Belgium | - |
| dc.description.sponsorship | This study was supported by the Special Research Fund of Hasselt University (BOF08M01, Methusalem grant). | - |
| dc.language.iso | en | - |
| dc.publisher | Zenodo | - |
| dc.subject.classification | Other mathematical sciences and statistics not elsewhere classified | - |
| dc.subject.other | Spatiotemporal | - |
| dc.subject.other | COVID-19 | - |
| dc.subject.other | Europ | - |
| dc.subject.other | e Endemic-epidemic | - |
| dc.title | Capturing the spatiotemporal spread of COVID-19 in 30 European countries during 2020 – 2022 | - |
| dc.type | Dataset | - |
| local.bibliographicCitation.jcat | DS | - |
| dc.description.version | V1 | - |
| dc.rights.license | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
| dc.identifier.doi | 10.5281/zenodo.15533888 | - |
| dc.identifier.url | https://zenodo.org/doi/10.5281/zenodo.15533888 | - |
| local.provider.type | datacite | - |
| local.uhasselt.international | no | - |
| local.contributor.datacreator | NGUYEN, Trang | - |
| local.contributor.datacurator | NGUYEN, Trang | - |
| local.contributor.rightsholder | NGUYEN, Trang | - |
| local.format.extent | 421.2 MB | - |
| local.format.mimetype | .zip | - |
| local.contributororcid.datacurator | 0000-0001-8874-217X | - |
| local.contributororcid.rightsholder | 0000-0001-8874-217X | - |
| local.publication.doi | 10.1186/s12889-025-24795-6 | - |
| local.publication.handle | http://hdl.handle.net/1942/47668 | - |
| local.contributingorg.datacreator | Data Science Institute, Hasselt University | - |
| local.contributingorg.datacurator | Data Science Institute, Hasselt University | - |
| local.contributingorg.rightsholder | Data Science Institute, Hasselt University | - |
| dc.rights.access | Open Access | - |
| item.fullcitation | NGUYEN, Trang (2025) Capturing the spatiotemporal spread of COVID-19 in 30 European countries during 2020 – 2022. Zenodo. 10.5281/zenodo.15533888 https://zenodo.org/doi/10.5281/zenodo.15533888. | - |
| item.fulltext | No Fulltext | - |
| item.contributor | NGUYEN, Trang | - |
| item.accessRights | Closed Access | - |
| crisitem.license.code | CC-BY-4.0 | - |
| crisitem.license.name | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
| crisitem.discipline.code | 01019999 | - |
| crisitem.discipline.name | Other mathematical sciences and statistics not elsewhere classified | - |
| crisitem.discipline.path | Natural sciences > Mathematical sciences and statistics > Other mathematical sciences and statistics > Other mathematical sciences and statistics not elsewhere classified | - |
| crisitem.discipline.pathandcode | Natural sciences > Mathematical sciences and statistics > Other mathematical sciences and statistics > Other mathematical sciences and statistics not elsewhere classified (01019999) | - |
| Appears in Collections: | Datasets | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.