Evidence map›Paper›PMID 40628391›Full record

ArticleEuropean journal of public health2025

The influence of case factors and system factors on the timeliness of testing and contact tracing for COVID-19 in The Netherlands.

Jizzo R Bosdriesz, Elke M den Boogert, Suzan van Dijken, Nicole H T M Dukers-Muijrers, Hannelore M Götz, Irene E Goverse, Tjalling Leenstra, Mariska W F Petrignani, Stijn F H Raven, Maarten F Schim van der Loeff and 3 more

Abstract read
In one paragraph

Article in European journal of 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.

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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

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

13 authors.

Jizzo R BosdrieszDepartment of Infectious Diseases, Public Health Service of Amsterdam (GGD Amsterdam), Amsterdam, The Netherlands.ORCID 0000-0002-1038-7814
Elke M den BoogertDepartment of Infectious Disease Control, Municipal Health Service Hart voor Brabant, 's-Hertogenbosch, The Netherlands.
Suzan van DijkenDepartment of Health Policy and Research, Public Health Service Flevoland, Lelystad, The Netherlands.
Nicole H T M Dukers-MuijrersDepartment of Sexual Health and Infectious Diseases, Public Health Service South Limburg, Heerlen, The Netherlands.
Hannelore M GötzCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Irene E GoverseDepartment of Infectious Diseases, Municipal Health Service Groningen, Groningen, The Netherlands.
Tjalling LeenstraDepartment of Infectious Diseases, Public Health Service of Amsterdam (GGD Amsterdam), Amsterdam, The Netherlands.
Mariska W F PetrignaniDepartment of Infectious Disease Control, Municipal Health Service Haaglanden, The Hague, The Netherlands.
Stijn F H RavenDepartment of Infectious Diseases, Public Health Service region Utrecht, Zeist, The Netherlands.
Maarten F Schim van der LoeffDepartment of Infectious Diseases, Public Health Service of Amsterdam (GGD Amsterdam), Amsterdam, The Netherlands.ORCID 0000-0002-4903-7002
Susan van den HofCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Kirsten WeversDepartment of Infectious Disease Control, Municipal Health Services Gelderland Midden, Arnhem, The Netherlands.
Amy A MatserDepartment of Infectious Diseases, Public Health Service of Amsterdam (GGD Amsterdam), Amsterdam, The Netherlands.

Funding

ZonMw #10430022010022
6 · The paper itself

Abstract

Source and contact tracing (SCT) is essential to control the transmission of SARS-CoV-2, and the timeliness of SCT is crucial. As little is known about its real-world effectiveness, we investigated the timeliness of SCT in the Netherlands and its determinants. We used routine COVID-19 SCT data from all individuals who tested positive for SARS-CoV-2 at nine Dutch public health services between 1 June 2020 and 28 February 2021 (N = 384 591). We calculated median time intervals between SCT stages. We used multilevel logistic regression to study associations between case factors and system factors, and total SCT delay (symptom onset to SCT initiation >3 days), patient delay (symptom onset to making test appointment >1 day), and response delay (making test appointment to SCT initiation >2 days). The median total SCT interval time was 3 days (interquartile range 2-5). Older age and being a migrant had higher odds of delay; working in health care or education had lower odds of delay. A higher caseload and a scaled-down SCT had higher odds of delay. For age and country of birth, stronger associations with patient delay, and weaker associations with response delay were found. Although SCT during the COVID-19 pandemic might have had merits in prompting people to isolate or quarantine before the availability of a vaccine, the observed interval times indicate that SCT was not fast enough to have a large effect on interrupting transmission chains. Although promising, the added value of digital SCT tools remains uncertain.

Indexed as

Contact TracingCOVID-19COVID-19 TestingAdolescentAdultAgedFemaleHumansMaleMiddle AgedNetherlandsSARS-CoV-2Time FactorsYoung Adult

Identifiers

PMID40628391
PMCPMC12529288

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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.