Evidence map›Paper›PMID 38726234›Full record

ArticleFrontiers in public health2024

Cross-border mobility in the Meuse-Rhine Euroregion: impact of COVID-19 border restrictions on everyday activities and visiting social network members.

Céline J A van Bilsen, Stephanie Brinkhues, Christian J P A Hoebe, Christina Stabourlos, Chrissy P B Moonen, Stefaan Demarest, Daniëlle A T Hanssen, Inge H M van Loo, Paul H M Savelkoul, Dirk Philippsen and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Céline J A van BilsenDepartment of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht, Netherlands.
Stephanie BrinkhuesDepartment of Knowledge & Innovation, Public Health Service South Limburg, Heerlen, Netherlands.
Christian J P A HoebeDepartment of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht, Netherlands.
Christina StabourlosDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Chrissy P B MoonenDepartment of Social Medicine, Maastricht University, Care and Public Health Research Institute (CAPHRI), Maastricht, Netherlands.
Stefaan DemarestDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Daniëlle A T HanssenDepartment of Medical Microbiology, Infectious Diseases & Infection Prevention, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.
Inge H M van LooDepartment of Medical Microbiology, Infectious Diseases & Infection Prevention, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.
Paul H M SavelkoulDepartment of Medical Microbiology, Infectious Diseases & Infection Prevention, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.
Dirk PhilippsenGesundheitsberichterstattung, Gesundheitsamt Düren, Düren, Germany.
Brigitte A M van der ZandenFoundation euPrevent, Heerlen, Netherlands.
Nicole H T M Dukers-MuijrersDepartment of Sexual Health, Infectious Diseases, and Environmental Health, Living Lab Public Health, Public Health Service South Limburg, Heerlen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cross-border mobility (CBM) to visit social network members or for everyday activities is an important part of daily life for citizens in border regions, including the Meuse-Rhine Euroregion (EMR: neighboring regions from the Netherlands, Belgium, and Germany). We assessed changes in CBM during the COVID-19 pandemic and how participants experienced border restrictions. Methods: Impact of COVID-19 on the EMR' is a longitudinal study using comparative cross-border data collection. In 2021, a random sample of the EMR-population was invited for participation in online surveys to assess current and pre-pandemic CBM. Changes in CBM, experience of border restrictions, and associated factors were analyzed using multinomial and multivariable logistic regression analysis. Results: Pre-pandemic, 82% of all 3,543 participants reported any CBM: 31% for social contacts and 79% for everyday activities. Among these, 26% decreased social CBM and 35% decreased CBM for everyday activities by autumn 2021. Negative experience of border restrictions was reported by 45% of participants with pre-pandemic CBM, and was higher (p < 0.05) in Dutch participants (compared to Belgian; aOR= 1.4), cross-border [work] commuters (aOR= 2.2), participants with cross-border social networks of friends, family or acquaintances (aOR= 1.3), and those finding the measures 'limit group size' (aOR= 1.5) and 'minimalize travel' (aOR= 2.0) difficult to adhere to and finding 'minimalize travel' (aOR= 1.6) useless. Discussion: CBM for social contacts and everyday activities was substantial in EMR-citizens, but decreased during the pandemic. Border restrictions were valued as negative by a considerable portion of EMR-citizens, especially when having family or friends across the border. When designing future pandemic control strategies, policy makers should account for the negative impact of CBM restrictions on their citizens.

Indexed as

COVID-19AdultAgedBelgiumEuropeFemaleGermanyHumansLongitudinal StudiesMaleMiddle AgedNetherlandsSARS-CoV-2Social NetworkingSurveys and QuestionnairesTravelborder regionsCOVID-19 pandemiccross-border mobilitylogistic modelssocial healthsocial networkssurveys and questionnairestravel restrictions

Identifiers

PMID38726234
PMCPMC11079879

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.