Computer modelling of anthelmintic resistance and worm control outcomes for refugia-based nematode control strategies in Merino ewes in Western Australia

• Published in: Veterinary parasitology Vol. 220; pp. 59 - 66
• Main Authors: Cornelius, M.P., Jacobson, C., Dobson, R., Besier, R.B.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.04.2016
• Subjects: Animals; Antinematodal Agents - administration & dosage; Antinematodal Agents - pharmacology; Antinematodal Agents - therapeutic use; Communicable Disease Control - standards; Computer Simulation; Drug Resistance; Environment; Female; Nematoda - drug effects; Nematoda - physiology; Nematode Infections - drug therapy; Nematode Infections - parasitology; Nematode Infections - veterinary; Nematodes; Refugia; Refugium; Seasons; Sheep; Sheep Diseases - drug therapy; Sheep Diseases - parasitology; Targeted selective treatment; Western Australia; Nematodes; Refugia; Sheep; Targeted selective treatment
• ISSN: 0304-4017; 1873-2550
• DOI: 10.1016/j.vetpar.2016.02.030

•Leaving a proportion of adult sheep untreated is an effective TST strategy.•Drenching in autumn rather than summer effectively delayed anthelmintic resistance.•Fully effective anthelmintics are important for worm control and to delay resistance.•More refugia is required to delay resistance when less-effective drugs are used. This study utilised computer simulation modelling (Risk Management Model for Nematodes) to investigate the impact of different parasite refugia scenarios on the development of anthelmintic resistance and worm control effectiveness. The simulations were conducted for adult ewe flocks in a Mediterranean climatic region over a 20 year time period. Factors explored in the simulation exercise were environment (different weather conditions), drug efficacy, the percentage of the flock left untreated, the timing of anthelmintic treatments, the initial worm egg count, and the number of drenches per annum. The model was run with variable proportions of the flock untreated (0, 10, 20, 30, 40 and 50%), with ewes selected at random so that reductions in the mean worm burden or egg count were proportional to the treated section of the flock. Treatments to ewes were given either in summer (December; low refugia potential, hence highly selective) or autumn (March; less selective due to a greater refugia potential), and the use of different anthelmintics was simulated to indicate the difference between active ingredients of different efficacy. Each model scenario was run for two environments, specifically a lower rainfall area (more selective) and a higher rainfall area (less selective) within a Mediterranean climatic zone, characterised by hot, dry summers and cool, wet winters. Univariate general linear models with least square difference post-hoc tests were used to examine differences between means of factors. The results confirmed that leaving a proportion of sheep in a flock untreated was effective in delaying the development of anthelmintic resistance, with as low as 10% of a flock untreated sufficient to significantly delay resistance, although this strategy was associated with a small reduction in worm control. Administering anthelmintics in autumn rather than summer was also effective in delaying the development of anthelmintic resistance in the lower rainfall environment where all sheep were treated, although the effect of treatment timing on worm control effectiveness varied between the environments and the proportion of ewes left untreated. The use of anthelmintics with higher efficacy delayed the development of resistance, but the initial worm egg count or number of annual treatments had no effect on either the time to resistance development or worm control effectiveness. In conclusion, the modelling study suggests that leaving a small proportion of ewes untreated, or changing the time of treatment, can delay the onset of anthelmintic resistance in a highly selective environment.