A Two-Locus Model of the Evolution of Insecticide Resistance to Inform and Optimise Public Health Insecticide Deployment Strategies

PLoS Computational Biology

Volumn 13, Issue 1, 2017, Pages

  Levick, Bethany ^a,c   South, Andy ^b   Hastings, Ian M ^a  

^a LIVERPOOL SCHOOL OF TROPICAL MEDICINE   (United Kingdom)

^b Independent Consultant   (United Kingdom)

^c UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MIXTURES; SENSITIVITY ANALYSIS; VECTOR CONTROL (ELECTRIC MACHINERY);

DEPLOYMENT STRATEGY; HUMAN DISEASE; INSECTICIDE RESISTANCE; ITS APPLICATIONS; LIFESPANS; LOW CONCENTRATIONS; MOSQUITO SPECIES; PARAMETER SPACES; ROBUST STRATEGY; SELECTION PRESSURES;

INSECTICIDES;

INSECTICIDE;

ARTICLE; AUTOSOME; CALIBRATION; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ECOLOGICAL NICHE; EXPOSURE; GAMETE; GENE FREQUENCY; GENE LOCUS; GENOTYPE; HETEROZYGOTE; INSECTICIDE RESISTANCE; MATHEMATICAL MODEL; MOSQUITO; MOSQUITO VECTOR; NONHUMAN; SENSITIVITY ANALYSIS; SIMULATION; TWO LOCUS MODEL; X CHROMOSOME; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; CULEX; DRUG EFFECTS; EVOLUTION; GENETICS; HEALTH CARE POLICY; HUMAN; MALARIA; PARASITOLOGY;

ANIMALS; BIOLOGICAL EVOLUTION; COMPUTER SIMULATION; CULEX; HEALTH POLICY; HUMANS; INSECTICIDE RESISTANCE; INSECTICIDES; MALARIA; MODELS, GENETIC;

EID: 85011397539     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005327     Document Type: Article

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