Evidence map›Paper›PMID 40302215›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

Real-Time Genomic Surveillance for Enhanced Healthcare Outbreak Detection and Control: Clinical and Economic Impact.

Alexander J Sundermann, Praveen Kumar, Marissa P Griffith, Kady D Waggle, Vatsala Rangachar Srinivasa, Nathan Raabe, Emma G Mills, Hunter Coyle, Deena Ereifej, Hannah M Creager and 6 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Characterization ofPHAGE (New Rochelle, N.Y.) · 2026
    Article
  8. Article
  9. Article
  10. Differential virulence potential of different clades of multidrug-resistantmedRxiv : the preprint server for health sciences · 2026
    Article
  11. Article
  12. Prediction of genetic relatedness ofAntimicrobial agents and chemotherapy · 2026
    Article
  13. Observational
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. ACCIO: An Assembly-Based Tool Enabling Plasmid Detection.medRxiv : the preprint server for health sciences · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Alexander J SundermannMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-2439-6287
Praveen KumarDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-4948-968X
Marissa P GriffithMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kady D WaggleMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Vatsala Rangachar SrinivasaMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Nathan RaabeMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-3258-9003
Emma G MillsDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Hunter CoyleMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0009-0006-0463-4168
Deena EreifejMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Hannah M CreagerDepartment of Pathology, UPMC, Pittsburgh, Pennsylvania, USA.
Ashley AyresDepartment of Infection Control and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, Pennsylvania, USA.
Daria Van TyneDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-7284-0103
Lora Lee PlessMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Graham M SnyderDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-5562-8880
Mark RobertsDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Lee H HarrisonMicrobial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Enhanced Detection System for Healthcare-Associated Transmission of InfectionR01AI127472 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRISON, LEE H · 2016 to 2025
$7.6M
National Institute of Allergy and Infectious DiseasesNIAID NIH HHS R01 AI127472NIH HHS R01AI127472
6 · The paper itself

Abstract

backgroundCurrent methods are insufficient alone for outbreak detection in hospitals. Real-time genomic surveillance offers the potential to detect otherwise unidentified outbreaks. We initiated and evaluated the Enhanced Detection System for Healthcare-associated Transmission (EDS-HAT), a real-time genomic surveillance program for outbreak detection and mitigation.

methodsThis study was conducted at UPMC Presbyterian Hospital from November 2021 to October 2023. Whole genome sequencing (WGS) was performed weekly on healthcare-associated clinical bacterial isolates to identify otherwise undetected outbreaks. IP&C interventions were implemented in real-time based on identified transmission. A clinical and economic impact analysis was conducted to estimate infections avoided and net cost savings.

resultsThere were 3921 bacterial isolates from patient healthcare-associated infections that underwent WGS, of which 476 (12.1%) clustered into 172 outbreaks (size 2-16 patients). Of the outbreak isolates, 292 (61.3%) had an identified epidemiological link. Among the outbreaks with interventions, 95.6% showed no further transmission on the intervened transmission route. The impact analysis estimated that, over the 2-year period, 62 infections and 4.8 deaths were avoided, with gross cost savings of $1,011,146, and net savings of $695,706, which translates to a 3.2-fold return on investment. Probabilistic sensitivity analysis showed EDS-HAT was cost saving and more effective in 98% of simulations.

conclusionsReal-time genomic surveillance enabled the rapid detection and control of outbreaks in our hospital and resulted in patient and economic benefits. This study demonstrates the feasibility and effectiveness of integrating genomic surveillance into routine infection prevention practice, offering a paradigm shift in healthcare outbreak detection and control.

Indexed as

Cross InfectionDisease OutbreaksInfection ControlEpidemiological MonitoringGenomicsHumansWhole Genome Sequencinggenomic surveillancehealthcare-associated infectionsoutbreaksurveillancewhole genome sequencing

Identifiers

PMID40302215
PMCPMC13375575

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.