ArticleeLife2020
Metapopulation ecology links antibiotic resistance, consumption, and patient transfers in a network of hospital wards.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Article
- Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.PLoS computational biology · 2026Article
- Co-variation between blood stream infections with Candida species versus Pseudomonas aeruginosa, Staphylococcus aureus, and other isolates among 60 ICU patient cohorts.Medical mycology · 2026Article
- Associations Between Candida andMicroorganisms · 2025Article
- Exceptions to the rule: When does resistance evolution not undermine antibiotic therapy in human bacterial infections?Evolution letters · 2024Article
- Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting: a pilot study.Scientific reports · 2023Review
- A Perfect Storm: COVID-19 and Antimicrobial Resistance.EMJ. Microbiology & infectious diseases · 2022Article
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Authors and funding
16 authors at 2 institutions in 1 country.
Funding
Abstract
Antimicrobial resistance (AMR) is a global threat. A better understanding of how antibiotic use and between-ward patient transfers (or connectivity) impact population-level AMR in hospital networks can help optimize antibiotic stewardship and infection control strategies. Here, we used a metapopulation framework to explain variations in the incidence of infections caused by seven major bacterial species and their drug-resistant variants in a network of 357 hospital wards. We found that ward-level antibiotic consumption volume had a stronger influence on the incidence of the more resistant pathogens, while connectivity had the most influence on hospital-endemic species and carbapenem-resistant pathogens. Piperacillin-tazobactam consumption was the strongest predictor of the cumulative incidence of infections resistant to empirical sepsis therapy. Our data provide evidence that both antibiotic use and connectivity measurably influence hospital AMR. Finally, we provide a ranking of key antibiotics by their estimated population-level impact on AMR that might help inform antimicrobial stewardship strategies.
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Registered trials
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