Evidence map›Paper›PMID 40398937›Full record

ArticleBMJ open2025

Estimating the effect of South Africa travel restrictions in November 2021 on the SARS-CoV-2 Omicron outbreak in the Netherlands: a descriptive analysis and modelling study.

Elke Wynberg, Sherman Lee, Roisin Bavalia, Valerie Eijrond, Luc E Coffeng, Anne de Vries, Saskia van Egmond, Lobke Brals, Noud A J Schel, Lotte Harbers and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Elke Wynberg *Pandemic & Disaster Preparedness Center (PDPC), Erasmus MC, Rotterdam, The Netherlands elke.wynberg@gmail.com.ORCID http://orcid.org/0000-0002-8245-086X
Sherman Lee *Pandemic & Disaster Preparedness Center (PDPC), Erasmus MC, Rotterdam, The Netherlands.
Roisin BavaliaPandemic & Disaster Preparedness Center (PDPC), Erasmus MC, Rotterdam, The Netherlands.
Valerie EijrondPandemic & Disaster Preparedness Center (PDPC), Erasmus MC, Rotterdam, The Netherlands.
Luc E CoffengDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Anne de VriesGGD Kennemerland, Haarlem, The Netherlands.
Saskia van EgmondGGD Kennemerland, Haarlem, The Netherlands.
Lobke BralsGGD Kennemerland, Haarlem, The Netherlands.
Noud A J SchelKLM Health Services, Koninklijke Luchtvaart Maatschappij NV, Amstelveen, The Netherlands.
Lotte HarbersAmsterdam Schiphol Airport, Amsterdam, The Netherlands.
Bas KolenDepartment of Hydraulic Engineering, Delft University of Technology, Delft, The Netherlands.
Sake De VlasDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Anja SchreijerPandemic & Disaster Preparedness Center (PDPC), Erasmus MC, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGovernments used travel bans during the COVID-19 pandemic to limit the introduction of new variant of concern (VoC). In the Netherlands, direct flights from South Africa were banned from 26 November 2021 onwards to curb Omicron (B.1.1.529) importation.

objectivesThis study retrospectively evaluated the effect of the South African travel ban and the timing of its implementation on subsequent Omicron infections in the Netherlands and, in order to help inform future decision-making, assessed alternative scenarios in which the reproduction number (R

designDescriptive analysis and modelling study. OUTCOME MEASURE: Time (days) from 26 November 2021 to reach 10 000 cumulative Omicron infections in the Netherlands.

methodsTo benchmark the direct importation rate of Omicron from South Africa, we used the proportion (n/N, %) of passengers arriving on two direct flights from South Africa to the Netherlands on 26 November 2021 with a positive PCR sequencing result for Omicron VoC infection. We scaled the number of directly-imported Omicron infections before and after the travel ban to the incidence in South Africa. We assumed that 10% of all cases continued to arrive via indirect routes, a 'failure rate' of 2% (ie, incoming Dutch citizens not adhering to quarantine on arrival) and an effective reproduction number (R

resultsCompared with no travel ban, the travel ban achieved a 14-day delay in reaching 10 000 Omicron cases, with an additional day of delay if initiated 2 days earlier. If all indirect importation had been prevented (eg, European-wide travel ban), a 21-day delay could have been achieved. The travel ban's effect was negligible if R

conclusionsTravel bans can delay the calendar timing of an outbreak but are substantially less effective for pathogens where importation cannot be fully controlled and tracing every imported case is unfeasible. When facing future disease outbreaks, we urge policy-makers to critically weigh up benefits against the known socioeconomic drawbacks of international travel restrictions.

Indexed as

COVID-19Disease OutbreaksSARS-CoV-2TravelHumansNetherlandsRetrospective StudiesSouth AfricaCOVID-19EpidemiologyPUBLIC HEALTH

Identifiers

PMID40398937
PMCPMC12097087

What OpenQuestion holds

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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.