Evidence map›Paper›PMID 41070454›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2025

Primary care sentinel surveillance of influenza-like illness and laboratory detections of respiratory viral infections in Denmark, week 40 2021 to week 39 2023.

Amanda Bolt Botnen, Lisbet Krause Knudsen, Julie Grau, Henrik Bang, Jens Nielsen, Jesper Krog, Sofie Midgley, Kristina Træholt Franck, Morten Rasmussen, Uffe Vest Schneider and 3 more

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2025. 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. Review
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.

Amanda Bolt BotnenDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Lisbet Krause KnudsenDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Julie GrauDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Henrik BangDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Jens NielsenDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Jesper KrogDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Sofie MidgleyDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Kristina Træholt FranckDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Morten RasmussenDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Uffe Vest SchneiderDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Hanne-Dorthe EmborgDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Lasse S VestergaardDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Ramona TrebbienDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDThe Danish respiratory virus sentinel surveillance system has monitored influenza-like illness and influenza virus activity for over 30 years. During the last decade, additional virus groups were added. In 2021, the system was updated to include SARS-CoV-2, collect detailed symptomatic data, and transitioned to year-round surveillance.AIMTo explore the first two seasons of year-round respiratory virus surveillance and the first symptomatic data collected in the Danish primary care sentinel surveillance system.METHODSIn 2021/22 and 2022/23 seasons, 156 and 147 participating general practitioners, respectively, reported influenza-like illness consultation rates, collected symptomatic data and swabbed patient volunteers. Swabs were sent to Statens Serum Institut for multiplex PCR analysis, with additional characterisation using high-throughput sequencing or type-specific PCR assays for viruses such as influenza, SARS-CoV-2 and respiratory syncytial virus (RSV).RESULTSDuring the two seasons, 4,391 and 6,034 swabs, respectively, were collected and analysed. Year-round surveillance detected an unusually early wave of RSV during 2022/23. While present in nearly all weeks, SARS-CoV-2 showed waves with increased detection. Year-round surveillance also highlighted consistent patterns, such as continuous presence of entero-/rhinoviruses and endemic coronaviruses, as well as parainfluenza virus appearing after influenza virus. Symptom data showed differences by both sex and virus type, e.g. headaches were more commonly reported by women with RSV.CONCLUSIONSOur findings highlight the value of year-round respiratory virus surveillance in identifying both atypical virus activity and consistent patterns outside the winter season. Symptom data suggest the need for further research into sex-specific symptom patterns.

Indexed as

COVID-19Influenza, HumanPrimary Health CareRespiratory Tract InfectionsSentinel SurveillanceVirus DiseasesAdolescentAdultAgedChildChild, PreschoolDenmarkFemaleHumansInfantMalecoronavirusenterovirushuman metapneumovirusinfluenzaparainfluenzarespiratory syncytial virusrespiratory virusessars-cov-2Sentinel surveillance

Identifiers

PMID41070454
PMCPMC12514434

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.