Drug resistance or re-emergence? Simulating equine parasites

Jie Xu, Anand Vidyashankar, Martin K. Nielsen

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Emerging drug resistance in parasitology and its impact on human and animal health are of serious concern. Attempts by the parasitology community to address this issue led to the introduction of so-called selective therapy where a proportion of the population is left untreated. This has led to re-emergence of parasites that have heretofore been controlled. Using stochastic simulations, this article explores the tradeoff between drug resistance and re-emergence. More importantly, the article identifies the importance of the parasite fitness parameter vector and its role in drug resistance. Suggestions for further biological work and statistical analyses are also provided.

Original languageEnglish
Article number20
JournalACM Transactions on Modeling and Computer Simulation
Volume24
Issue number4
DOIs
StatePublished - Aug 1 2014

Bibliographical note

Publisher Copyright:
© 2014 ACM 1049-3301/2014/06-ART20.

Funding

FundersFunder number
National Science Foundation (NSF)CMMI-1233376

    Keywords

    • Drug resistance
    • Equine parasite
    • Re-emergence
    • Selective therapy
    • Statisticalmodel
    • Stochastic simulation

    ASJC Scopus subject areas

    • Modeling and Simulation
    • Computer Science Applications

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