ArticlePLoS biology2022
Analysis of multiple bacterial species and antibiotic classes reveals large variation in the association between seasonal antibiotic use and resistance.
Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Seasonal and hospital settings variations in antimicrobial resistance among clinical isolates from cardiac patients: insights from a 7-Year study.BMC infectious diseases · 2025Article
- Trends in Antimicrobial Resistance of Major Mastitis-Causing Pathogens: A Nine-Year Study.Veterinary medicine and science · 2025Article
- Article
- Enhancing antibiotic therapy through comprehensive pharmacokinetic/pharmacodynamic principles.Frontiers in cellular and infection microbiology · 2025Review
- Transition to electronic medical records improves efficiency and reach of antimicrobial stewardship service in an Australian tertiary hospital setting.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Antibiotic consumption patterns in older adults: a comparative study of people 65 years and older in and outside nursing homes, Belgium, 2016 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024Article
- Predicting future hospital antimicrobial resistance prevalence using machine learning.Communications medicine · 2024Article
- Recent approaches in computational modelling for controlling pathogen threats.Life science alliance · 2024Review
- Selection and horizontal gene transfer underlie microdiversity-level heterogeneity in resistance gene fate during wastewater treatment.Nature communications · 2024Article
- Overcoming challenges in the economic evaluation of interventions to optimise antibiotic use.Communications medicine · 2024Review
- Use of antimicrobials in pediatric wards of five Brazilian hospitals.BMC pediatrics · 2024Observational
- Machine learning models for Neisseria gonorrhoeae antimicrobial susceptibility tests.Annals of the New York Academy of Sciences · 2023Review
- Engineering bacteriophages for enhanced host range and efficacy: insights from bacteriophage-bacteria interactions.Frontiers in microbiology · 2023Review
- Evidence of Community-Wide Spread of Multi-Drug ResistantMicroorganisms · 2022Article
- Uses of mathematical modeling to estimate the impact of mass drug administration of antibiotics on antimicrobial resistance within and between communities.Infectious diseases of poverty · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Understanding how antibiotic use drives resistance is crucial for guiding effective strategies to limit the spread of resistance, but the use-resistance relationship across pathogens and antibiotics remains unclear. We applied sinusoidal models to evaluate the seasonal use-resistance relationship across 3 species (Staphylococcus aureus, Escherichia coli, and Klebsiella pneumoniae) and 5 antibiotic classes (penicillins, macrolides, quinolones, tetracyclines, and nitrofurans) in Boston, Massachusetts. Outpatient use of all 5 classes and resistance in inpatient and outpatient isolates in 9 of 15 species-antibiotic combinations showed statistically significant amplitudes of seasonality (false discovery rate (FDR) < 0.05). While seasonal peaks in use varied by class, resistance in all 9 species-antibiotic combinations peaked in the winter and spring. The correlations between seasonal use and resistance thus varied widely, with resistance to all antibiotic classes being most positively correlated with use of the winter peaking classes (penicillins and macrolides). These findings challenge the simple model of antibiotic use independently selecting for resistance and suggest that stewardship strategies will not be equally effective across all species and antibiotics. Rather, seasonal selection for resistance across multiple antibiotic classes may be dominated by use of the most highly prescribed antibiotic classes, penicillins and macrolides.
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