SMILE

Stochastic Models for the Inference of Life Evolution

Bibtex

@article{debarre_evolutionary_2009,
Author = {Débarre, Florence and Lenormand, Thomas and Gandon,
Sylvain},
Title = {Evolutionary epidemiology of drug-resistance in space},
Journal = {PLoS computational biology},
Volume = {5},
Number = {4},
Pages = {e1000337},
Keywords = {Biological Evolution, Computer Simulation, Disease
Outbreaks, Drug Resistance, Host-Parasite Interactions,
Humans, Models, Biological, Parasitic Diseases},
abstract = {How can we optimize the use of drugs against parasites
to limit the evolution of drug resistance? This
question has been addressed by many theoretical studies
focusing either on the mixing of various treatments, or
their temporal alternation. Here we consider a
different treatment strategy where the use of the drug
may vary in space to prevent the rise of
drug-resistance. We analyze epidemiological models
where drug-resistant and drug-sensitive parasites
compete in a one-dimensional spatially heterogeneous
environment. Two different parasite life-cycles are
considered: (i) direct transmission between hosts, and
(ii) vector-borne transmission. In both cases we find a
critical size of the treated area, under which the
drug-resistant strain cannot persist. This critical
size depends on the basic reproductive ratios of each
strain in each environment, on the ranges of dispersal,
and on the duration of an infection with drug-resistant
parasites. We discuss optimal treatment strategies that
limit disease prevalence and the evolution of
drug-resistance.},
doi = {10.1371/journal.pcbi.1000337},
issn = {1553-7358},
language = {eng},
month = apr,
pmcid = {PMC2658742},
pmid = {19343211},
year = 2009
}