Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47668
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dc.contributor.authorNGUYEN, Trang-
dc.contributor.authorHENS, Niel-
dc.contributor.authorFAES, Christel-
dc.date.accessioned2025-11-03T13:11:54Z-
dc.date.available2025-11-03T13:11:54Z-
dc.date.issued2025-
dc.date.submitted2025-10-30T16:17:45Z-
dc.identifier.citationBMC Public Health, 25 (1) (Art N° 3547)-
dc.identifier.urihttp://hdl.handle.net/1942/47668-
dc.description.abstractBackgroundWhile the COVID-19 pandemic has been burdensome globally, it has fostered extensive data collection at various spatiotemporal resolutions. These data heightened researchers' interest in investigating multiple facets of the pandemic. In Europe, key factors shaping disease transmission vary among countries, leading to a gap in understanding how the epidemic evolved and spread across countries as a whole. We endeavor to understand the similarities and differences in the spatiotemporal spread of the COVID-19 pandemic across 27 European Union (EU) countries and 3 European Economic Area (EEA) countries between March 2020 and December 2022.MethodWe utilized a multivariate endemic-epidemic model to conduct a space-time analysis across 30 countries, using weekly aggregated COVID-19 case counts from week 13-2020 to week 50-2022. Our analysis considered the discrepancies in population size, the primary course and three booster vaccine doses - taking into account waning immunity, the Stringency Index as a surrogate for non-pharmaceutical interventions adopted in each country, and the circulation of various viral variants. We employed a power law approximation for spatial interactions between countries.ResultsWe found that within-country transmission was dominant across all countries over almost three years of observation. This work also underscored a basic transmission mechanism, whereby infections introduced by between-country transmission could be of great importance in subsequent local transmission. Furthermore, there were indications of the transition to endemicity since the beginning of 2022, particularly in light of the evolving variants of concern.ConclusionOur study highlighted the benefit of the endemic-epidemic framework to elucidate the COVID-19 disease spread over a large spatial and temporal scale, using a wide range of epidemiological information. Insights derived from this study are beneficial for those interested in seeking an overview of the emergency phase of the COVID-19 pandemic in the EU/EEA region.-
dc.description.sponsorshipFunding This study was supported by the Special Research Fund of Hasselt University (BOF08M01, Methusalem grant).-
dc.language.isoen-
dc.publisherBMC-
dc.rightsThe Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creati vecommons.org/licenses/by-nc-nd/4.0/.-
dc.subject.otherSpatiotemporal-
dc.subject.otherCOVID-19-
dc.subject.otherEurope-
dc.subject.otherEndemic-epidemic-
dc.titleCapturing the spatiotemporal spread of COVID-19 in 30 European countries during 2020-2022-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume25-
local.format.pages19-
local.bibliographicCitation.jcatA1-
dc.description.notesNguyen, T (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, Martelarenlaan 42, B-3500 Hasselt, Belgium.-
dc.description.notesthihuyentrang.nguyen@uhasselt.be; niel.hens@uhasselt.be;-
dc.description.noteschristel.faes@uhasselt.be-
local.publisher.placeCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr3547-
dc.identifier.doi10.1186/s12889-025-24795-6-
dc.identifier.pmid41121036-
dc.identifier.isi001598201000013-
local.provider.typewosris-
local.description.affiliation[Nguyen, Thi Huyen Trang; Hens, Niel; Faes, Christel] Hasselt Univ, Data Sci Inst, I BioStat, Martelarenlaan 42, B-3500 Hasselt, Belgium.-
local.description.affiliation[Hens, Niel] Univ Antwerp, Vaccine & Infect Dis Inst, Ctr Hlth Econ Res & Modeling Infect Dis, Prinsstr 13, B-2000 Antwerp, Belgium.-
local.dataset.doihttps://zenod o.org/records/15533888-
local.uhasselt.internationalno-
item.contributorNGUYEN, Trang-
item.contributorHENS, Niel-
item.contributorFAES, Christel-
item.accessRightsOpen Access-
item.fullcitationNGUYEN, Trang; HENS, Niel & FAES, Christel (2025) Capturing the spatiotemporal spread of COVID-19 in 30 European countries during 2020-2022. In: BMC Public Health, 25 (1) (Art N° 3547).-
item.fulltextWith Fulltext-
crisitem.journal.eissn1471-2458-
Appears in Collections:Research publications
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