Evidence map›Paper›PMID 41214557›Full record

ArticleBMC infectious diseases2025

Four million COVID-19 cases in four European cross-border regions reveal minimal cross-border transmission effect on domestic burden: space-time cluster analysis.

Brigitte van der Zanden, Boris Kauhl, Volker Hackert, Christian Jpa Hoebe

Abstract read
In one paragraph

Article in BMC infectious diseases, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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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

4 authors.

Brigitte van der ZandenFoundation euPrevent, Het Overloon 2, Heerlen, 6411 TE, Netherlands. b.vanderzanden@icloud.com.
Boris KauhlIndependent Contributor, Berlin, Germany.
Volker HackertDepartment of Sexual Health, Infectious Diseases and Environmental Health, Living Lab Public Health Mosa, South Limburg Public Health Service, PO Box 33, Heerlen, 6400 AA, Netherlands.
Christian Jpa HoebeDepartment of Sexual Health, Infectious Diseases and Environmental Health, Living Lab Public Health Mosa, South Limburg Public Health Service, PO Box 33, Heerlen, 6400 AA, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRestrictions of cross-border mobility were used during the COVID-19 pandemic to slow down transmission between countries. Such restrictions came with significant societal costs, and their effect on in-country burdens of COVID-19 has been questioned. Our study aims to assess whether cross-border transmission contributed significantly to in-country burdens of COVID-19 in four large Euroregions shared by the Netherlands, Germany and Belgium.

methodGeographical information systems (GIS) and Besag-York-Mollie (BYM) models were used to visualize the spatial distribution of COVID-19 cases from January 2020 through October 2022. Space-time cluster analysis with SaTScan was used to identify significant clusters of COVID-19 cases and determine whether they included cross-border areas. Over 4 million cases drawn from the national infectious disease registries were analysed for this study.

resultsIncidence of COVID-19 increased and decreased independently within each country, except for one simultaneous peak in January 2022 due to the Omicron variant. Eight significant space-time clusters were identified, four of which were cross-border clusters. All eight clusters occurred during periods of high in-country transmission. DISCUSSION: Our findings showed that cross-border transmission did not contribute in significant ways to in-country burdens of COVID-19 burden in the regions studied. The identified clusters corresponded to in-country waves of infection. Our results challenge the assumption that border closures were crucial in controlling the pandemic and highlight the need for coordinated public health responses that balance the effect of interventions with societal costs.

Indexed as

COVID-19BelgiumCluster AnalysisEuropeGeographic Information SystemsGermanyHumansIncidenceNetherlandsSARS-CoV-2Space-Time ClusteringCOVIDCross-borderGIS analysisInfectious diseasePandemicSARS-CoV2Space-time cluster analysisTransmission

Identifiers

PMID41214557
PMCPMC12604248

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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.