Evidence map›Paper›PMID 33949007›Full record

ArticleAPMIS : acta pathologica, microbiologica, et immunologica Scandinavica2021

Electronic reporting of diagnostic laboratory test results from all healthcare sectors is a cornerstone of national preparedness and control of COVID-19 in Denmark.

Kristian Schønning, Ram Benny Dessau, Thøger Gorm Jensen, Nicklas Myrthue Thorsen, Camilla Wiuff, Lene Nielsen, Sophie Gubbels, Matt Denwood, Uffe Høgsbro Thygesen, Lasse Engbo Christensen and 10 more

Open access · bronzeAbstract readLetter
In one paragraph

Article in APMIS : acta pathologica, microbiologica, et immunologica Scandinavica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
10.7field-weighted citation impact, top 1% of its field
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

51 citing papers in PubMed, 80 citations in OpenAlex.

  1. Improving public health laboratory preparedness at European Union level: learning points from experiences during the COVID-19 pandemic.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  2. Article
  3. First steps in establishing surveillance of bloodstream infections from electronic health record derived data, EU/EEA countries, March 2023 to March 2025.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  4. Article
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  6. Surveillance of severe acute respiratory infections using ICD-10 diagnosis codes and national electronic health records, Denmark, 2022 to 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  7. Article
  8. Article
  9. Enhanced influenza vaccines impact effectiveness in individuals aged 65 years and older, Denmark, 2024/25 influenza season up to 4 March 2025.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  10. The impact of social distancing on mental health during the COVID-19 pandemic: a nationwide study of 4.6 million Danish adults.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
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  20. First cases of SARS-CoV-2 BA.2.86 in Denmark, 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    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

20 authors at 9 institutions in 1 country.

Kristian SchønningDepartment of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Ram Benny DessauDepartment of Clinical Microbiology, Zealand University Hospital, Slagelse, Denmark.
Thøger Gorm JensenDepartment of Clinical Microbiology, Odense University Hospital and Clinical Microbiology Research Unit, University of Southern Denmark, Odense, Denmark.
Nicklas Myrthue ThorsenData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Camilla WiuffDepartment of Clinical Microbiology, The Hospital of South West Jutland, University Hospital of Southern Denmark, Odense, Denmark.
Lene NielsenDepartment of Clinical Microbiology, Copenhagen University Hospital Herlev and Gentofte Hospital, Copenhagen, Denmark.
Sophie GubbelsData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Matt DenwoodDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark.
Uffe Høgsbro ThygesenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.
Lasse Engbo ChristensenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.
Camilla Holten MøllerExpert Group on Mathematical Modeling of COVIDd-19 Infectious Disease Preparedness Statens Serum Institut, Copenhagen S, Denmark.
Jens Kjølseth MøllerDepartment of Clinical Microbiology, Vejle Hospital, Vejle, Denmark.
Svend Ellermann-EriksenDepartment of Clinical Microbiology, Aarhus University Hospital, Aarhus N, Denmark.
Christian ØstergaardDepartment of Clinical Microbiology, Copenhagen University Hospital, Hvidovre, Denmark.
Janni Uyen Hoa LamData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Nour AbushalleehData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Marianna MeaidiData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Stefan OlsenData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Kåre MølbakData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Marianne VoldstedlundData Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
Statens Serum Institut · DKCopenhagen University Hospital · DKTechnical University of Denmark · DKUniversity of Southern Denmark · DKAarhus University Hospital · DKGentofte Hospital · DKSlagelse Hospital · DKUniversity of Copenhagen · DKVejle Sygehus · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has led to an unprecedented demand for real-time surveillance data in order to inform critical decision makers regarding the management of the pandemic. The aim of this review was to describe how the Danish national microbiology database, MiBa, served as a cornerstone for providing data to the real-time surveillance system by linkage to other nationwide health registries. The surveillance system was established on an existing IT health infrastructure and a close network between clinical microbiologists, information technology experts, and public health officials. In 2020, testing capacity for SARS-CoV-2 was ramped up from none to over 10,000 weekly PCR tests per 100,000 population. The crude incidence data mirrored this increase in testing. Real-time access to denominator data and patient registries enabled adjustments for fluctuations testing activity, providing robust data on crude SARS-CoV-2 incidence during the changing diagnostic and management strategies. The use of the same data for different purposes, for example, final laboratory reports, information to the public, contact tracing, public health, and science, has been a critical asset for the pandemic response. It has also raised issues concerning data protection and critical capacity of the underlying technical systems and key resources. However, even with these limitations, the setup has enabled decision makers to adopt timely interventions. The experiences from COVID-19 may motivate a transformation from traditional indicator-based public health surveillance to an all-encompassing information system based on access to a comprehensive set of data sources, including diagnostic and reference microbiology.

Indexed as

SARS-CoV-2Basic Reproduction NumberCOVID-19COVID-19 TestingDatabases, FactualDenmarkElectronicsHealth Care SectorHumansRegistriesCOVID-19electronic reportingmicrobiological test resultsnational surveillance

Identifiers

PMID33949007
PMCPMC8239934
OpenAlexW3158005252

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.