Martin Cormican
Overview
Explore the profile of Martin Cormican including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
123
Citations
2615
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
21.
Vergnano S, Godbole G, Simbo A, Smith-Palmer A, Cormican M, Anthony M, et al.
Arch Dis Child
. 2021 May;
106(12):1207-1210.
PMID: 33985959
Objectives: To describe the epidemiology, age at infection, clinical characteristics and outcome of listeria infection in young infants to inform management and empiric antibiotic choice in young infants. Design: Prospective...
22.
Hooban B, Fitzhenry K, Cahill N, Joyce A, O Connor L, Bray J, et al.
Environ Int
. 2021 Mar;
152:106466.
PMID: 33706038
Water bodies worldwide have proven to be vast reservoirs of clinically significant antibiotic resistant organisms. Contamination of waters by anthropogenic discharges is a significant contributor to the widespread dissemination of...
23.
Achtman M, Zhou Z, Alikhan N, Tyne W, Parkhill J, Cormican M, et al.
Wellcome Open Res
. 2021 Feb;
5:223.
PMID: 33614977
Most publicly available genomes of are from human disease in the US and the UK, or from domesticated animals in the US. Here we describe a historical collection of 10,000...
24.
Ludden C, Lotsch F, Alm E, Kumar N, Johansson K, Albiger B, et al.
Euro Surveill
. 2020 May;
25(20).
PMID: 32458791
Analysis of sequencing data for 143 - and -positive isolates from 13 European national collections and the public domain resulted in the identification of 15 previously undetected multi-country transmission clusters....
25.
Ludden C, Decano A, Jamrozy D, Pickard D, Morris D, Parkhill J, et al.
Microb Genom
. 2020 Mar;
6(4).
PMID: 32213258
sequence type 131 (ST131) is a pandemic clone that is evolving rapidly with increasing levels of antimicrobial resistance. Here, we investigated an outbreak of ST131 producing extended spectrum β-lactamases (ESBLs)...
26.
Doyle R, OSullivan D, Aller S, Bruchmann S, Clark T, Pelegrin A, et al.
Microb Genom
. 2020 Feb;
6(2).
PMID: 32048983
Antimicrobial resistance (AMR) poses a threat to public health. Clinical microbiology laboratories typically rely on culturing bacteria for antimicrobial-susceptibility testing (AST). As the implementation costs and technical barriers fall, whole-genome...
27.
Chung The H, Boinett C, Thanh D, Jenkins C, Weill F, Howden B, et al.
Nat Commun
. 2019 Oct;
10(1):4828.
PMID: 31645551
Shigella sonnei increasingly dominates the international epidemiological landscape of shigellosis. Treatment options for S. sonnei are dwindling due to resistance to several key antimicrobials, including the fluoroquinolones. Here we analyse...
28.
Mahon B, Brehony C, Cahill N, McGrath E, OConnor L, Varley A, et al.
Sci Total Environ
. 2019 Jul;
690:1-6.
PMID: 31299565
The rapid dissemination of carbapenemase-producing Enterobacterales (CPE) is a major public health concern. The role that the aquatic environment plays in this dissemination is underexplored. This study aimed to examine...
29.
Brehony C, McGrath E, Brennan W, Tuohy A, Whyte T, Brisse S, et al.
J Antimicrob Chemother
. 2019 Jun;
74(7):1856-1862.
PMID: 31225613
Objectives: The prevalence of infections caused by OXA-48-like carbapenemase-producing organisms in Ireland has increased dramatically since 2011 and is an urgent public health issue. Genome-based high-resolution genotyping was used to...
30.
Tandan M, Timilsina M, Cormican M, Vellinga A
Int J Med Inform
. 2019 May;
127:127-133.
PMID: 31128824
Background: In general practice, many infections are treated empirically prior to or without microbiological confirmation. Prediction of antimicrobial susceptibility could optimise prescribing thus improving patient outcomes. Decision tree models are...