Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

65
Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
65

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Plasma Albumin Changes During Admission for Bloodstream Infection as Prognostic Predictors After Discharge-A Population-Based Cohort Study.

Journal of clinical medicine·2026
Same author

Academic achievements after childhood meningitis: a nationwide, population-based cohort study.

Infectious diseases (London, England)·2026
Same author

Effect of replacing two non-lytic anaerobic blood culture flasks with one lytic flask on anaerobic bacterial recovery during a concurrent change in blood culture system.

Anaerobe·2026
Same author

One-year cancer risk after detection of blast cells in peripheral blood.

Scandinavian journal of clinical and laboratory investigation·2026
Same author

Sex and age differences of inflammatory biomarkers around a bloodstream infection: a population-based cohort study.

Infection·2026
Same author

Nomogram-based analysis of plasma albumin and C-reactive protein 30 days before bloodstream infection for 30-day mortality in Singapore and Denmark.

Scientific reports·2026

Related Experiment Video

Updated: Apr 23, 2026

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery
10:19

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

Published on: June 26, 2014

14.1K

The Danish Collaborative Bacteraemia Network (DACOBAN) database.

Kim Oren Gradel1, Henrik Carl Schønheyder2, Magnus Arpi3

  • 1Center for Clinical Epidemiology, Odense University Hospital, Odense, Denmark ; Research Unit of Clinical Epidemiology, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.

Clinical Epidemiology
|September 27, 2014
PubMed
Summary
This summary is machine-generated.

The Danish Collaborative Bacteraemia Network (DACOBAN) database offers extensive bacteremia data for studying incidence, risk, and prognosis. This resource facilitates research on rare microorganisms and socioeconomic factors impacting patient outcomes.

Keywords:
bacteremiadatabasepopulation-basedpositive blood cultures

More Related Videos

A Reference Broth Microdilution Method for Dalbavancin In Vitro Susceptibility Testing of Bacteria that Grow Aerobically
11:28

A Reference Broth Microdilution Method for Dalbavancin In Vitro Susceptibility Testing of Bacteria that Grow Aerobically

Published on: September 9, 2015

33.1K
A Tuberculosis Molecular Bacterial Load Assay TB-MBLA
10:41

A Tuberculosis Molecular Bacterial Load Assay TB-MBLA

Published on: April 30, 2020

14.4K

Related Experiment Videos

Last Updated: Apr 23, 2026

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery
10:19

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

Published on: June 26, 2014

14.1K
A Reference Broth Microdilution Method for Dalbavancin In Vitro Susceptibility Testing of Bacteria that Grow Aerobically
11:28

A Reference Broth Microdilution Method for Dalbavancin In Vitro Susceptibility Testing of Bacteria that Grow Aerobically

Published on: September 9, 2015

33.1K
A Tuberculosis Molecular Bacterial Load Assay TB-MBLA
10:41

A Tuberculosis Molecular Bacterial Load Assay TB-MBLA

Published on: April 30, 2020

14.4K

Area of Science:

  • Clinical microbiology
  • Epidemiology
  • Public health

Background:

  • The Danish Collaborative Bacteraemia Network (DACOBAN) database aggregates microbiological data from positive blood cultures.
  • It covers a well-defined population of 1.7 million residents, representing 32% of the Danish population.
  • The database integrates comorbidity, vital status, and clinical data, enabling comprehensive analysis.

Purpose of the Study:

  • To establish a robust database for studying surveillance, risk, and prognosis of bacteremia.
  • To enable the computation of sex- and age-specific incidence rates.
  • To facilitate research on rare microorganisms and the impact of socioeconomic factors on bacteremia outcomes.

Main Methods:

  • Utilizing data from three clinical microbiology departments in Denmark.
  • Linking microbiological data with national registries (Patient Registry, Civil Registration System).
  • Continuous updating of the database, comprising 39,292 patients and 49,951 bacteremic episodes (2000-2011).

Main Results:

  • The DACOBAN database provides a foundation for population-based bacteremia research.
  • It supports studies on specific pathogens like Staphylococcus aureus and enterococci.
  • Previous studies have explored computer algorithms for episode classification and socioeconomic risk factors.

Conclusions:

  • The DACOBAN database is a valuable resource for epidemiological research on bloodstream infections.
  • Its comprehensive data allows for detailed analysis of bacteremia incidence, risk factors, and patient prognosis.
  • The database contributes to an international network, enhancing global understanding of bacteremia.