A stochastic model accommodating the FAMACHA© system for estimating worm burdens and associated risk factors in sheep naturally infected with Haemonchus contortus

dc.contributor.authorReynecke, Dean Peter
dc.contributor.authorVan Wyk, Jan Aucamp
dc.contributor.authorGummow, Bruce
dc.contributor.authorDorny, Pierre
dc.contributor.authorBoomker, Jacob Diederik Frederik
dc.contributor.emailjan.vanwyk@up.ac.zaen
dc.date.accessioned2011-11-09T11:15:46Z
dc.date.available2011-11-09T11:15:46Z
dc.date.issued2011-05
dc.description.abstractA previously developed multiple regression algorithm was used as the basis of a stochastic model to simulate worm burdens in sheep naturally infected with Haemonchus contortus over five consecutive Haemonchus seasons (November to January/February) on a farm in the summer rainfall region in South Africa, although only one season is discussed. The algorithm associates haemoglobin levels with worm counts in individual animals. Variables were represented by distributions based on FAMACHA© scores and body weights of sheep, and Monte Carlo sampling was used to simulate worm burdens. Under conditions of high disease risk, defined as the sampling event during the worm season with the lowest relative mean haemoglobin level for a class of sheep, the model provided a distribution function for mean class H. contortus burdens and the probability of these occurring. A mean H. contortus burden for ewes (n=130 per sample) of approximately 1 000 (range 51 to 28 768) and 2 933 (range 78 to 44 175) for rams (n = 120 per sample) was predicted under these conditions. At the beginning of the worm season when the risk of disease was lowest (i.e. when both classes had their highest estimated mean haemoglobin levels), a mean worm burden of 525 (range 39 to 4910) for ewes and 651 (range 37 to 17260) for rams was predicted. Model indications were that despite being selectively drenched according to FAMACHA© evaluation, 72% of the ewes would maintain their mean worm burden below an arbitrarily selected threshold of 1 000 even when risk of disease was at its highest. In contrast, far fewer rams (27%) remained below this threshold, especially towards the end of the worm season. The model was most sensitive to changes in haemoglobin value, and thus by extrapolation, the haematocrit, which is used as the gold standard for validating the FAMACHA© system. The mean class haemoglobin level at which there was a 50% probability of worm burdens being ≤1000 worms was 7.05 g/dl in ewes and 7.92 g/dl in rams.en
dc.description.sponsorshipThis work was carried out within the Framework Agreement between the Directorate General for Development Cooperation, Belgium and the Institute of Tropical Medicine, Antwerpen (Belgium – Grant No AG534) with the Department of Veterinary Tropical Diseases of the University of Pretoria Faculty of Veterinary Science, and with the support of the EU “PARASOL” FOOD-CT-2005-022851 FP6 project.en
dc.description.urihttp://www.elsevier.com/locate/vetparen
dc.identifier.citationReynecke, DP, Van Wyk, JA, Gummow, B, Dorny, P & Boomker, J 2011, 'A stochastic model accommodating the FAMACHA© system for estimating worm burdens and associated risk factors in sheep naturally infected with Haemonchus contortus', Veterinary Parasitology, vol. 177, no. 3-4, pp.231-241.en
dc.identifier.issn0304-4017 (print)
dc.identifier.issn1873-2550 (online)
dc.identifier.other10.1016/j.vetpar.2011.01.042
dc.identifier.other7003908833
dc.identifier.otherN-9314-2014
dc.identifier.urihttp://hdl.handle.net/2263/17546
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.relation.requiresAdobe Acrobat Readeren
dc.rights© 2011 Elsevier B.V. All rights reserved.en
dc.subjectHaemonchusen
dc.subjectTargeted selective treatmenten
dc.subjectIntegrated parasite managementen
dc.subjectFAMACHA©en
dc.subject.lcshAnthelminticsen
dc.subject.lcshSheep -- Diseasesen
dc.subject.lcshNematoda -- Controlen
dc.titleA stochastic model accommodating the FAMACHA© system for estimating worm burdens and associated risk factors in sheep naturally infected with Haemonchus contortusen
dc.typePostprint Articleen

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