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 language | English |
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Article number | 20 |
Journal | ACM Transactions on Modeling and Computer Simulation |
Volume | 24 |
Issue number | 4 |
DOIs | |
State | Published - Aug 1 2014 |
Bibliographical note
Publisher Copyright:© 2014 ACM 1049-3301/2014/06-ART20.
Funding
Funders | Funder number |
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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