A Joint Regional Analysis of Resistance Combinations in Escherichia coli in Humans and Different Food-Producing Animal Populations in Germany Between 2014 and 2017

A joint comparative regional analysis of different resistance combinations across human and veterinary medicine has not been previously conducted in Germany. This study analyses 16 resistance combinations from four antibiotics in E. coli from different human and food-producing animal populations in...

Full description

Saved in:
Bibliographic Details
Main Authors: Beneditta Suwono (Author), Tim Eckmanns (Author), Heike Kaspar (Author), Bernd-Alois Tenhagen (Author)
Format: Book
Published: Frontiers Media S.A., 2022-06-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_fbec6341a0ab49258045ea26a0fe6f9d
042 |a dc 
100 1 0 |a Beneditta Suwono  |e author 
700 1 0 |a Beneditta Suwono  |e author 
700 1 0 |a Tim Eckmanns  |e author 
700 1 0 |a Heike Kaspar  |e author 
700 1 0 |a Bernd-Alois Tenhagen  |e author 
245 0 0 |a A Joint Regional Analysis of Resistance Combinations in Escherichia coli in Humans and Different Food-Producing Animal Populations in Germany Between 2014 and 2017 
260 |b Frontiers Media S.A.,   |c 2022-06-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2022.823613 
520 |a A joint comparative regional analysis of different resistance combinations across human and veterinary medicine has not been previously conducted in Germany. This study analyses 16 resistance combinations from four antibiotics in E. coli from different human and food-producing animal populations in three German regions: East, North West and South West. The E. coli data were collected from the three national surveillance and monitoring systems for antimicrobial resistance (AMR) bacteria in humans (ARS), food-safety (Zoonosis Monitoring) and animal pathogens (GERM-Vet) from January 2014 to December 2017. Analyses were performed using cluster analysis (hierarchical clustering, average linkage) in R. We included data from 537,215 E. coli isolates from human clinical isolates, from clinical as well as non-clinical isolates from food-producing animals and from food. The majority of the data originated from the North West region. There were two main clusters built on 54 different human and animal populations. We observed close similarities of resistance combinations in human isolates from the different regions within the same human populations from outpatient cares, general wards and ICUs. These resistance combinations clustered separately from non-clinical isolates from broilers, turkeys, cattle and pigs; except for some of clinical isolates from these populations which clustered closely to isolates from human populations. Frequently, the resistance combinations in E. coli isolates from farms clustered closely to the resistance combinations in isolates from slaughterhouses from broilers and turkeys over all regions. However, the resistance combinations in E. coli isolates from retail meat populations tended to cluster separately within their respective populations in between all regions. 
546 |a EN 
690 |a antimicrobial resistance 
690 |a Escherichia coli 
690 |a regional analyses 
690 |a surveillance and monitoring systems 
690 |a resistance combinations 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 10 (2022) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2022.823613/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/fbec6341a0ab49258045ea26a0fe6f9d  |z Connect to this object online.