ReviewAmerican journal of epidemiology2013
A modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization.
Review in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Ceftazidime with avibactam for treating severe aerobic Gram-negative bacterial infections: technology evaluation to inform a novel subscription-style payment model.Health technology assessment (Winchester, England) · 2024Pooled it
- Cefiderocol for treating severe aerobic Gram-negative bacterial infections: technology evaluation to inform a novel subscription-style payment model.Health technology assessment (Winchester, England) · 2024Pooled it
- Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review.PLoS pathogens · 2024Pooled it
- Send more data: a systematic review of mathematical models of antimicrobial resistance.Antimicrobial resistance and infection control · 2018Pooled it
- Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review.BMC public health · 2026Article
- Modelling the role of the microbiome in antimicrobial resistance across scales.Nature microbiology · 2026Review
- Modelling impacts of paediatric amoxicillin shortage management on pneumococcal resistance and invasive disease in Europe.Nature communications · 2026Article
- Antimicrobial Resistance (AMR) Development Map: A Conceptual Map and a Tool to Support Economic Evaluation of AMR Interventions.Applied health economics and health policy · 2025Article
- Modeling and simulation of distribution and drug resistance of major pathogens in patients with respiratory system infections.BMC infectious diseases · 2025Article
- Taxation of veterinary antibiotics to reduce antimicrobial resistance.One health (Amsterdam, Netherlands) · 2023Article
- Modelling the effects of antibiotic usage in livestock on human salmonellosis.One health (Amsterdam, Netherlands) · 2023Article
- Impact of Technological Developments on Infectious Disease Epidemiology: Lessons From the First 100 Years of the American Journal of Epidemiology.American journal of epidemiology · 2023Article
- Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting: a pilot study.Scientific reports · 2023Review
- Estimating the fitness cost and benefit of antimicrobial resistance from pathogen genomic data.Journal of the Royal Society, Interface · 2023Article
- Article
- Article
- Modelling the Future Clinical and Economic Burden of Antimicrobial Resistance: The Feasibility and Value of Models to Inform Policy.Applied health economics and health policy · 2022Review
- ASAS-NANP symposium: mathematical modeling in animal nutrition: the progression of data analytics and artificial intelligence in support of sustainable development in animal science.Journal of animal science · 2022Article
- Article
- Antibiotic treatment protocols revisited: the challenges of a conclusive assessment by mathematical modelling.Journal of the Royal Society, Interface · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Antibiotic-resistant infections complicate treatment and increase morbidity and mortality. Mathematical modeling has played an integral role in improving our understanding of antibiotic resistance. In these models, parameter sensitivity is often assessed, while model structure sensitivity is not. To examine the implications of this, we first reviewed the literature on antibiotic-resistance modeling published between 1993 and 2011. We then classified each article's model structure into one or more of 6 categories based on the assumptions made in those articles regarding within-host and population-level competition between antibiotic-sensitive and antibiotic-resistant strains. Each model category has different dynamic implications with respect to how antibiotic use affects resistance prevalence, and therefore each may produce different conclusions about optimal treatment protocols that minimize resistance. Thus, even if all parameter values are correctly estimated, inferences may be incorrect because of the incorrect selection of model structure. Our framework provides insight into model selection.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.