Evidence map›Paper›PMID 42201459›Full record

ArticleEuropean journal of epidemiology2026

The Danish Infection Cohort: a resource for population based infectious disease epidemiology.

Noelle M Cocoros, Eyal Oren, Bianka Darvalics, Kasper Mortensen, Heidi Amalie Rosendahl Jensen, Marie Holm Eliasen, Lars Pedersen, Henrik Toft Sørensen

Abstract read
In one paragraph

Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Noelle M CocorosDepartment of Clinical Epidemiology, Center for Population Medicine, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, Aarhus, 8200, Denmark. nmcocoros@clin.au.dk.ORCID http://orcid.org/0000-0001-7090-2761
Eyal OrenDepartment of Clinical Epidemiology, Center for Population Medicine, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, Aarhus, 8200, Denmark.
Bianka DarvalicsDepartment of Clinical Epidemiology, Center for Population Medicine, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, Aarhus, 8200, Denmark.
Kasper MortensenDepartment of Clinical Epidemiology, Center for Population Medicine, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, Aarhus, 8200, Denmark.
Heidi Amalie Rosendahl JensenNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Marie Holm EliasenCenter for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Frederiksberg, Denmark.
Lars PedersenDepartment of Clinical Epidemiology, Center for Population Medicine, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, Aarhus, 8200, Denmark.
Henrik Toft SørensenDepartment of Clinical Epidemiology, Center for Population Medicine, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, Aarhus, 8200, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections are a major cause of morbidity and mortality, but many aspects of the epidemiology of infections are unknown or unclear because key data are lacking. We created The Danish Infection Cohort by linking Danish National Health Survey data (including self-reported behavioral, health, and other information) to data on diagnoses and medications in Danish national health registries. We included individuals ≥ 18 years of age in surveys from 2010, 2013, 2017, and 2021. We identified evidence of infection in the 365 days post-survey by using two definitions: hospital-diagnosed infections, via primary or secondary discharge diagnoses in the Danish National Patient Registry (containing all Danish hospital-based outpatient, emergency, and inpatient encounters); and community-treated infections, via systemic anti-infective prescription redemptions at community pharmacies in the Danish National Prescription Registry. Overall, among 609,224 individuals, 196,980 (32.3%) had one or more infections within 365 days post-survey: 11,850 hospital-diagnosed and 185,130 community-treated. Because more than one infection occurred in some individuals, the total number of infections was 315,689: 25,385 hospital-diagnosed and 290,304 community-treated. The most common diagnoses were respiratory infections (34.9%), and the most common anti-infectives were antibiotics (80.6%). This cohort, with nearly 200,000 individuals with infections, and more than 315,000 infections overall, includes data on smoking, weight, physical activity, diet, alcohol use, and other factors, enabling a wide range of investigations including infectious disease patterns and etiologies over time.

Indexed as

Communicable DiseasesAdolescentAdultAgedCohort StudiesDenmarkFemaleHealth SurveysHospitalizationHumansMaleMiddle AgedRegistriesYoung AdultEpidemiologyHealth surveyInfectious disease

Identifiers

PMID42201459
PMCPMC13332955

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.