The use of a Poisson hidden Markov model for automated detection of hospital outbreaks with vancomycin-resistant enterococci in routine surveillance data

Overall, the PHMM shows potential for detecting in-hospital VRE outbreaks in routine surveillance data, with high detection rates. A prospective study is needed for further optimization for clinical practice.

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Publication Details

Journal
Journal of Hospital Infection
Published
2025-05-06
DOI
https://doi.org/10.1016/j.jhin.2025.04.025
Citations
1
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
1.35

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article

The use of a Poisson hidden Markov model for automated detection of hospital outbreaks with vancomycin-resistant enterococci in routine surveillance data

Annelot F. Schoffelen, Sophie A M van Kessel, Annelies Verbon, Jan van de Kassteele et al.
1 citations
Journal of Hospital Infection
Data-Driven Disease Surveillance
1.35
article

The use of a Poisson hidden Markov model for automated detection of hospital outbreaks with vancomycin-resistant enterococci in routine surveillance data

Annelot F. Schoffelen, Sophie A M van Kessel, Annelies Verbon, Jan van de Kassteele, Cornelia C. H. Wielders
article en
1 citations

Abstract

Overall, the PHMM shows potential for detecting in-hospital VRE outbreaks in routine surveillance data, with high detection rates. A prospective study is needed for further optimization for clinical practice.

Journal of Hospital InfectionVol. 162
University Medical Center Utrecht (NL), National Institute for Public Health and the Environment (NL)
Ministerie van Volksgezondheid, Welzijn en Sport
Good health and well-being
Openalex Percentile: Top 20%
Data-Driven Disease Surveillance
1.35
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