ArticlePLoS computational biology2020
Population structure across scales facilitates coexistence and spatial heterogeneity of antibiotic-resistant infections.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- 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
- Evolutionary inference reveals global natural histories and predicted pathways of antimicrobial resistance in Klebsiella pneumoniae.PLoS biology · 2026Article
- An analysis of COVID-19 mortality regarding all Austrian political districts.Wiener klinische Wochenschrift · 2026Article
- Article
- Susceptibility Profile and Multiple Antibiotics Resistance ofAntibiotics (Basel, Switzerland) · 2026Article
- In vitro Screening for Synergistic Polymyxin B-Based Combinations Against KPC- Producing Carbapenem-ResistantDrug design, development and therapy · 2026Article
- Article
- Review
- Spatial structure facilitates evolutionary rescue by drug resistance.PLoS computational biology · 2025Article
- Emergence of population heterogeneity in Klebsiella pneumoniae with a blaJournal of biomedical science · 2025Article
- The evolution of antibiotic resistance in Europe, 1998-2019.PLoS pathogens · 2025Article
- Evidence for sweep signatures in antibiotic-resistant strains in three species of bacteria.PeerJ · 2024Article
- Spectral dynamics of guided edge removals and identifying transient amplifiers for death-Birth updating.Journal of mathematical biology · 2023Article
- Diseases spectrum in the field of spatiotemporal patterns mining of infectious diseases epidemics: A bibliometric and content analysis.Frontiers in public health · 2022Review
- Article
- Spectral analysis of transient amplifiers for death-birth updating constructed from regular graphs.Journal of mathematical biology · 2021Article
- Fixation probabilities in graph-structured populations under weak selection.PLoS computational biology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Antibiotic-resistant infections are a growing threat to human health, but basic features of the eco-evolutionary dynamics remain unexplained. Most prominently, there is no clear mechanism for the long-term coexistence of both drug-sensitive and resistant strains at intermediate levels, a ubiquitous pattern seen in surveillance data. Here we show that accounting for structured or spatially-heterogeneous host populations and variability in antibiotic consumption can lead to persistent coexistence over a wide range of treatment coverages, drug efficacies, costs of resistance, and mixing patterns. Moreover, this mechanism can explain other puzzling spatiotemporal features of drug-resistance epidemiology that have received less attention, such as large differences in the prevalence of resistance between geographical regions with similar antibiotic consumption or that neighbor one another. We find that the same amount of antibiotic use can lead to very different levels of resistance depending on how treatment is distributed in a transmission network. We also identify parameter regimes in which population structure alone cannot support coexistence, suggesting the need for other mechanisms to explain the epidemiology of antibiotic resistance. Our analysis identifies key features of host population structure that can be used to assess resistance risk and highlights the need to include spatial or demographic heterogeneity in models to guide resistance management.
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