ArticleJournal of the Royal Society, Interface2016
A combined within-host and between-hosts modelling framework for the evolution of resistance to antimalarial drugs.
Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 64 citations in OpenAlex.
- Impact of different mutations on Kelch13 protein levels, ART resistance, and fitness cost inmBio · 2024Article
- Role of seasonal importation and genetic drift on selection for drug-resistant genotypes ofJournal of the Royal Society, Interface · 2024Article
- Role of Seasonal Importation and Random Genetic Drift on Selection for Drug-Resistant Genotypes ofbioRxiv : the preprint server for biology · 2023Article
- The impact of reactive case detection on malaria transmission in Zanzibar in the presence of human mobility.Epidemics · 2022Article
- Article
- Immune selection suppresses the emergence of drug resistance in malaria parasites but facilitates its spread.PLoS computational biology · 2021Article
- Evaluating the Performance of Malaria Genetics for Inferring Changes in Transmission Intensity Using Transmission Modeling.Molecular biology and evolution · 2021Article
- Early transmission of sensitive strain slows down emergence of drug resistance in Plasmodium vivax.PLoS computational biology · 2020Article
- A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study.Journal of the Royal Society, Interface · 2020Article
- Role of a Concentration Gradient in Malaria Drug Resistance Evolution: A Combined within- and between-Hosts Modelling Approach.Scientific reports · 2020Article
- Leveraging Computational Modeling to Understand Infectious Diseases.Current pathobiology reports · 2020Review
- Multiple-Strain Malaria Infection and Its Impacts onComputational and mathematical methods in medicine · 2019Article
- Multiscale model within-host and between-host for viral infectious diseases.Journal of mathematical biology · 2018Article
- Within-host competition can delay evolution of drug resistance in malaria.PLoS biology · 2018Article
- Ecological multiplex interactions determine the role of species for parasite spread amplification.eLife · 2018Article
- The impact of within-host ecology on the fitness of a drug-resistant parasite.Evolution, medicine, and public health · 2018Article
- Strategy intervention for the evolution of fairness.PloS one · 2018Article
- The Impact of Antimalarial Use on the Emergence and Transmission of Plasmodium falciparum Resistance: A Scoping Review of Mathematical Models.Tropical medicine and infectious disease · 2017Article
- Population dynamics of epidemic and endemic states of drug-resistance emergence in infectious diseases.PeerJ · 2017Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spread of drug resistance represents a significant challenge to many disease control efforts. The evolution of resistance is a complex process influenced by transmission dynamics between hosts as well as infection dynamics within these hosts. This study aims to investigate how these two processes combine to impact the evolution of resistance in malaria parasites. We introduce a stochastic modelling framework combining an epidemiological model of Plasmodium transmission and an explicit within-human infection model for two competing strains. Immunity, treatment and resistance costs are included in the within-host model. We show that the spread of resistance is generally less likely in areas of intense transmission, and therefore of increased competition between strains, an effect exacerbated when costs of resistance are higher. We also illustrate how treatment influences the spread of resistance, with a trade-off between slowing resistance and curbing disease incidence. We show that treatment coverage has a stronger impact on disease prevalence, whereas treatment efficacy primarily affects resistance spread, suggesting that coverage should constitute the primary focus of control efforts. Finally, we illustrate the importance of feedbacks between modelling scales. Overall, our results underline the importance of concomitantly modelling the evolution of resistance within and between hosts.
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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.