A public health risk model using prior healthcare exposures identifies healthcare-associated pathogen carriage

A risk model using patient-level healthcare exposure data from a state public health dataset identified critically ill patients likely to harbor healthcare-associated MDROs at the time of admission.

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Publication Details

Journal
Infection Control and Hospital Epidemiology
Published
2026-01-21
DOI
https://doi.org/10.1017/ice.2026.10397
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00

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A public health risk model using prior healthcare exposures identifies healthcare-associated pathogen carriage

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A public health risk model using prior healthcare exposures identifies healthcare-associated pathogen carriage

Sarah E. Sansom, Michael Schoeny, Anh-Thu Runez, Michael Lin, Dejan Jovanov, Angela S Tang, Mai Vue, Tanner L. Shull, William E Trick, Mary K Hayden
article en

Abstract

A risk model using patient-level healthcare exposure data from a state public health dataset identified critically ill patients likely to harbor healthcare-associated MDROs at the time of admission.

Infection Control and Hospital EpidemiologyVol. 47(3)
Illinois Department of Public Health (US), Cook County Health and Hospitals System (US), Rush University (US)
Centers for Disease Control and Prevention
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 79%
Antibiotic Resistance in Bacteria
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