ArticleeLife2021
Understanding the evolution of multiple drug resistance in structured populations.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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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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.
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Who cites it
10 citing papers in PubMed.
- Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review.BMC public health · 2026Article
- Epistasis mediates the role of negative frequency-dependent selection in bacterial strain structure.PLoS computational biology · 2026Article
- Viral evolution during primary infection in immunocompromised hosts.PLoS computational biology · 2026Article
- Quantifying the effects of antibiotic resistance and within-host competition on strain fitness in Streptococcus pneumoniae.PLoS biology · 2025Article
- Building pyramids against the evolutionary emergence of pathogens.Proceedings. Biological sciences · 2024Article
- A theory of resistance to multiplexed gene drive demonstrates the significant role of weakly deleterious natural genetic variation.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Effects of epistasis and recombination between vaccine-escape and virulence alleles on the dynamics of pathogen adaptation.Nature ecology & evolution · 2022Article
- Comparing optimization criteria in antibiotic allocation protocols.Royal Society open science · 2022Article
- Targeted vaccination and the speed of SARS-CoV-2 adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Evolutionary medicine.eLife · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolution of multidrug resistance (MDR) is a pressing public health concern. Yet many aspects, such as the role played by population structure, remain poorly understood. Here, we argue that studying MDR evolution by focusing upon the dynamical equations for linkage disequilibrium (LD) can greatly simplify the calculations, generate more insight, and provide a unified framework for understanding the role of population structure. We demonstrate how a general epidemiological model of MDR evolution can be recast in terms of the LD equations. These equations reveal how the different forces generating and propagating LD operate in a dynamical setting at both the population and metapopulation levels. We then apply these insights to show how the LD perspective: (i) explains equilibrium patterns of MDR, (ii) provides a simple interpretative framework for transient evolutionary dynamics, and (iii) can be used to assess the consequences of different drug prescription strategies for MDR evolution.
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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.