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. 2021 Nov 4;8:743725. doi: 10.3389/fvets.2021.743725

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Copyright © 2021 Al-harbi, Ranjbar, Moore and Alawneh.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Social network analysis of antimicrobial resistance patterns of isolate groups and antimicrobial agents for the study population. Network constructed using multidimensional scaling and shortest path as the distance matrix with the size of the nodes proportional to antimicrobial agent and isolate group eigenvector values. The eigenvector score is a measure of isolate or antimicrobial agent importance based on their overall centrality degree in the network. Key: blue, Gram-positive bacteria; pink, Gram-negative bacteria; AMC, amoxicillin-clavulanic acid; AMP, ampicillin; CHL, chloramphenicol; CRO, ceftiofur; ENR, enrofloxacin; ERY, erythromycin; GEN, gentamicin; KF, cephalothin; NEO, neomycin; NOV, pen-novobiocin; OXA, oxacillin; PEN, penicillin; SXT, cotrimoxazole; TE, tetracycline. NQLD, Northern Queensland; SQLD, Southeast Queensland.