An elaborated SIR model for haemonchosis in sheep in South Africa under a targeted selective anthelmintic treatment regime

Babayani, Nlingisisi D.; Wyk, J.A. Van; Morgan, Eric R.

doi:10.1016/j.prevetmed.2016.10.016

Cited by 2 publications

(2 citation statements)

References 40 publications

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“…It is studied by techniques like the analysis of its equilibra points (set of solutions M such that x(0) in M =⇒ x(t) ∈ M ∀ t ∈ R), numerical simulations, amongst others. As examples of the application of mathematical epidemiological models (referred just as epidemiological models from now and on, in the sake of the simplicity) in veterinary epidemiology, Gaucel et al [18] and Courcoul & Ezzano [19] used epidemiological models for studying the spread of bovine viral diarrhoea virus within and between herds, Babayani et al [20] used an epidemiological model to predict the haemonchosis disease in sheep on a commercial farm in South Africa, and Murai et al [21] studied through epidemiological modelling the conditions to control porcine epidemic diarrhea, a disease that can be damaging for pig producers. Apart from the applications in veterinary field, there is a profusion of epidemiological models for human diseases too.…”

Section: Introductionmentioning

confidence: 99%

Caprine Arthritis Encephalitis Virus Disease Modelling Review

Rebuli

Giacobini

Bertolotti

2021

Animals

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Mathematical modelling is used in disease studies to assess the economical impacts of diseases, as well as to better understand the epidemiological dynamics of the biological and environmental factors that are associated with disease spreading. For an incurable disease such as Caprine Arthritis Encephalitis (CAE), this knowledge is extremely valuable. However, the application of modelling techniques to CAE disease studies has not been significantly explored in the literature. The purpose of the present work was to review the published studies, highlighting their scope, strengths and limitations, as well to provide ideas for future modelling approaches for studying CAE disease. The reviewed studies were divided into the following two major themes: Mathematical epidemiological modelling and statistical modelling. Regarding the epidemiological modelling studies, two groups of models have been addressed in the literature: With and without the sexual transmission component. Regarding the statistical modelling studies, the reviewed articles varied on modelling assumptions and goals. These studies modelled the dairy production, the CAE risk factors and the hypothesis of CAE being a risk factor for other diseases. Finally, the present work concludes with further suggestions for modelling studies on CAE.

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Section: Introductionmentioning

confidence: 99%

Caprine Arthritis Encephalitis Virus Disease Modelling Review

Rebuli

Giacobini

Bertolotti

2021

Animals

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“…Furthermore, sheep were treated during the study leading to suppression of cases over time. Previous work on this dataset has demonstrated the importance of variability in rainfall and temperature in driving FAMACHA score when individual-level factors are accounted for(Babayani, Van Wyk, & Morgan, 2016).…”

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confidence: 99%

Prediction and attenuation of seasonal spillover of parasites between wild and domestic ungulates in an arid mixed‐use system

Walker

Evans

Vineer

et al. 2018

Journal of Applied Ecology

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Transmission of parasites between host species affects host population dynamics, interspecific competition, and ecosystem structure and function. In areas where wild and domestic herbivores share grazing land, management of parasites in livestock may affect or be affected by sympatric wildlife due to cross‐species transmission.We develop a novel method for simulating transmission potential based on both biotic and abiotic factors in a semi‐arid system in Botswana. Optimal timing of antiparasitic treatment in livestock is then compared under a variety of alternative host scenarios, including seasonally migrating wild hosts.In this region, rainfall is the primary driver of seasonality of transmission, but wildlife migration leads to spatial differences in the effectiveness of treatment in domestic animals. Additionally, competent migratory wildlife hosts move parasites across the landscape.Simulated transmission potential matches observed patterns of clinical disease in livestock in the study area. Increased wildlife contact is correlated with a decrease in disease, suggesting that non‐competent wild hosts may attenuate transmission by removing infective parasite larvae from livestock pasture.Optimising the timing of treatment according to within‐year rainfall patterns was considerably more effective than treating at a standard time of year. By targeting treatment in this way, efficient control can be achieved, mitigating parasite spillover from wildlife where it does occur. Synthesis and applications. This model of parasite transmission potential enables evidence‐based management of parasite spillover between wild and domestic species in a spatio‐temporally dynamic system. It can be applied in other mixed‐use systems to mitigate parasite transmission under altered climate scenarios or changes in host ranges.

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An elaborated SIR model for haemonchosis in sheep in South Africa under a targeted selective anthelmintic treatment regime

Cited by 2 publications

References 40 publications

Caprine Arthritis Encephalitis Virus Disease Modelling Review

Caprine Arthritis Encephalitis Virus Disease Modelling Review

Prediction and attenuation of seasonal spillover of parasites between wild and domestic ungulates in an arid mixed‐use system

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