Evidence map›Paper›PMID 41121036›Full record

ArticleBMC public health2025

Capturing the spatiotemporal spread of COVID-19 in 30 European countries during 2020 - 2022.

Thi Huyen Trang Nguyen, Niel Hens, Christel Faes

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Thi Huyen Trang NguyenData Science Institute, I-BioStat, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Limburg, Belgium. thihuyentrang.nguyen@uhasselt.be.
Niel HensData Science Institute, I-BioStat, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Limburg, Belgium.
Christel FaesData Science Institute, I-BioStat, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Limburg, Belgium.

Funding

The Special Research Fund of Hasselt University (Methusalem grant) BOF08M01
6 · The paper itself

Abstract

backgroundWhile 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.

Indexed as

COVID-19EuropeEuropean UnionHumansPandemicsSARS-CoV-2Spatio-Temporal AnalysisCOVID-19Endemic-epidemicEuropeSpatiotemporal

Identifiers

PMID41121036
PMCPMC12539104

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.