Back

A protocol for the TRACS-Liverpool study, tracking transmission of extended-spectrum beta-lactamase producing Enterobacterales across health and social care settings in the United Kingdom

Gallichan, S.; Lewis, J. M.; Forrest, S.; Moore, M.; Picton-Barlow, E.; McKeown, C.; Jewell, C. P.; Todd, S.; Graf, F. E.; Feasey, N. A.

2026-05-15 infectious diseases
10.64898/2026.05.13.26352872 medRxiv
Show abstract

Background: Antimicrobial resistance (AMR) is a global public health problem. Infections caused by extended-spectrum beta-lactamase (ESBL) and carbapenemase (CP) -producing Enterobacterales (E) threaten individuals and healthcare systems worldwide. Symptomatic infection caused by Enterobacterales is typically preceded by asymptomatic colonisation and often occurs in the most vulnerable individuals, thus interrupting asymptomatic transmission is desirable. The dominant transmission routes across the healthcare continuum including hospitals, intermediate care, and long-term care facilities are not well understood. Methods: Here we present a protocol describing a genomic surveillance framework developed for the Tracking Antimicrobial Resistance Across Care Settings (TRACS) Liverpool programme, which aims to identify critical ESBL-E transmission points in hospitals and care homes in Liverpool, UK. Our study integrates individual participant and healthcare facility data, validated standard operating procedures for taking and culturing stool, rectal, environmental, and staff samples, and genomic sequencing of ESBL-E, and statistical modelling approaches into a research framework for ESBL-E genomic surveillance. Discussion: There is a need for improved epidemiological and laboratory approaches to studying bacterial transmission. Drug-resistant enteric bacteria are a highly tractable marker of the movement of all enteric bacteria, and interventions designed to interrupt transmission of drug-resistant bacteria are expected to have a broader healthcare impact. This protocol provides a standardised, reproducible approach for identifying ESBL-E, tracking acquisition events, and linking clinical and environmental isolates through whole-genome sequencing.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Journal of Antimicrobial Chemotherapy
46 papers in training set
Top 0.1%
18.5%
2
Microbial Genomics
225 papers in training set
Top 0.4%
7.9%
3
The Lancet Infectious Diseases
73 papers in training set
Top 0.1%
6.7%
4
The Lancet Microbe
44 papers in training set
Top 0.1%
6.3%
5
Wellcome Open Research
67 papers in training set
Top 0.1%
5.5%
6
BMC Infectious Diseases
133 papers in training set
Top 0.6%
4.3%
7
PLOS ONE
5266 papers in training set
Top 34%
4.0%
50% of probability mass above
8
Open Forum Infectious Diseases
142 papers in training set
Top 0.7%
3.4%
9
BMJ Open
601 papers in training set
Top 7%
3.2%
10
JAC-Antimicrobial Resistance
14 papers in training set
Top 0.1%
3.2%
11
Eurosurveillance
83 papers in training set
Top 0.4%
2.1%
12
Emerging Infectious Diseases
105 papers in training set
Top 0.7%
2.1%
13
Clinical Infectious Diseases
235 papers in training set
Top 1%
2.0%
14
Journal of Hospital Infection
29 papers in training set
Top 0.2%
1.9%
15
Antimicrobial Resistance & Infection Control
11 papers in training set
Top 0.1%
1.9%
16
The Journal of Infectious Diseases
202 papers in training set
Top 2%
1.7%
17
Journal of Medical Microbiology
25 papers in training set
Top 0.4%
1.5%
18
Journal of Infection
78 papers in training set
Top 0.7%
1.5%
19
Nature Communications
5641 papers in training set
Top 51%
1.1%
20
Microbiology Spectrum
469 papers in training set
Top 9%
1.1%
21
Epidemiology and Infection
89 papers in training set
Top 3%
0.8%
22
International Journal of Antimicrobial Agents
15 papers in training set
Top 0.4%
0.8%
23
BMJ
51 papers in training set
Top 1%
0.6%
24
Frontiers in Microbiology
427 papers in training set
Top 9%
0.6%
25
Nature Microbiology
155 papers in training set
Top 4%
0.6%