ArticlePloS one2021
Cluster analysis of resistance combinations in Escherichia coli from different human and animal populations in Germany 2014-2017.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Clinical epidemiology and case fatality due to antimicrobial resistance in Germany: a systematic review and meta-analysis, 1 January 2010 to 31 December 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023Pooled it
- [Trends of antibiotic use and resistance in livestock from 2014 to 2024 using the example of fattening turkeys and broiler chickens as well as the effects on humans].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Article
- Spatiotemporal Trends and Co-Resistance Patterns of Multidrug-Resistant EntericPathogens (Basel, Switzerland) · 2025Article
- Antimicrobial Susceptibility Profiles ofAntibiotics (Basel, Switzerland) · 2025Article
- Antimicrobial Susceptibility Profiles of CommensalAntibiotics (Basel, Switzerland) · 2025Article
- Integrated surveillance systems for antibiotic resistance in a One Health context: a scoping review.BMC public health · 2024Article
- Improvements of weaned pigs barn hygiene to reduce the spread of antimicrobial resistance.Frontiers in microbiology · 2024Article
- [Bacterial zoonoses of public health importance in Germany-incidence, distribution, and modes of transmission].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023Review
- Antibiotic Resistance of Bacterial Isolates from Smallholder Poultry Droppings in the Guinea Savanna Zone of Nigeria.Antibiotics (Basel, Switzerland) · 2022Article
- A Joint Regional Analysis of Resistance Combinations inFrontiers in public health · 2022Article
- Animal source food eating habits of outpatients with antimicrobial resistance in Bukavu, D.R. Congo.Antimicrobial resistance and infection control · 2021Article
- Antimicrobial Stewardship for Respiratory Pathogens in Swine.Antibiotics (Basel, Switzerland) · 2020Article
- Good microbes, bad genes? The dissemination of antimicrobial resistance in the human microbiome.Gut microbesReview
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent findings on Antibiotic Resistance (AR) have brought renewed attention to the comparison of data on AR from human and animal sectors. This is however a major challenge since the data is not harmonized. This study performs a comparative analysis of data on resistance combinations in Escherichia coli (E. coli) from different routine surveillance and monitoring systems for human and different animal populations in Germany. Data on E. coli isolates were collected between 2014 and 2017 from human clinical isolates, non-clinical animal isolates from food-producing animals and food, and clinical animal isolates from food-producing and companion animals from national routine surveillance and monitoring for AR in Germany. Sixteen possible resistance combinations to four antibiotics-ampicillin, cefotaxime, ciprofloxacin and gentamicin-for these populations were used for hierarchical clustering (Euclidian and average distance). All analyses were performed with the software R 3.5.1 (Rstudio 1.1.442). Data of 333,496 E. coli isolates and forty-one different human and animal populations were included in the cluster analysis. Three main clusters were detected. Within these three clusters, all human populations (intensive care unit (ICU), general ward and outpatient care) showed similar relative frequencies of the resistance combinations and clustered together. They demonstrated similarities with clinical isolates from different animal populations and most isolates from pigs from both non-clinical and clinical isolates. Isolates from healthy poultry demonstrated similarities in relative frequencies of resistance combinations and clustered together. However, they clustered separately from the human isolates. All isolates from different animal populations with low relative frequencies of resistance combinations clustered together. They also clustered separately from the human populations. Cluster analysis has been able to demonstrate the linkage among human isolates and isolates from various animal populations based on the resistance combinations. Further analyses based on these findings might support a better one-health approach for AR in Germany.
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