Evidence map›Paper›PMID 39816238›Full record

ReviewOne health (Amsterdam, Netherlands)2025

The contribution of community transmission to the burden of hospital-associated pathogens: A systematic scoping review of epidemiological models.

Gary Lin, Suprena Poleon, Alisa Hamilton, Nalini Salvekar, Manuel Jara, Fardad Haghpanah, Cristina Lanzas, Ashley Hazel, Seth Blumberg, Suzanne Lenhart and 4 more

Abstract readReview
In one paragraph

Review in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Gary LinJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Suprena PoleonOne Health Trust, Washington DC, USA.
Alisa HamiltonOne Health Trust, Washington DC, USA.
Nalini SalvekarThe College Preparatory School, Oakland, CA, USA.
Manuel JaraDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Fardad HaghpanahOne Health Trust, Washington DC, USA.
Cristina LanzasDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Ashley HazelFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA.
Seth BlumbergFrancis I. Proctor Foundation, University of California, San Francisco, CA, USA.
Suzanne LenhartDepartment of Mathematics, University of Tennessee, Knoxville, TN, USA.
Alun L LloydBiomathematics Graduate Program and Department of Mathematics, North Carolina State University, Raleigh, NC, USA.
Anil VullikantiDepartment of Computer Science and Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA, USA.
Eili KleinOne Health Trust, Washington DC, USA.
CDC MInD Healthcare Network

Funding

NCEZID CDC HHS U01 CK000536NCEZID CDC HHS U01 CK000587NCEZID CDC HHS U01 CK000589NCEZID CDC HHS U01 CK000590
6 · The paper itself

Abstract

Healthcare-associated infections (HAI), particularly those involving multi-drug resistant organisms (MDRO), pose a significant public health threat. Understanding the transmission of these pathogens in short-term acute care hospitals (STACH) is crucial for effective control. Mathematical and computational models play a key role in studying transmission but often overlook the influence of long-term care facilities (LTCFs) and the broader community on transmission. In a systematic scoping review of 4,733 unique studies from 2016 to 2022, we explored the modeling landscape of the hospital-community interface in HAI-causing pathogen transmission. Among the 29 eligible studies, 28 % (

Indexed as

Community-hospital InterfaceCommunity transmissionModelingMulti-drug resistant organismNosocomial infections

Identifiers

PMID39816238
PMCPMC11733049

What OpenQuestion holds

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LicenceCC BY
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.