Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/2635
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Peer Review Status: | Refereed |
Title: | Controlling tick-borne diseases through domestic animal management: a theoretical approach |
Author(s): | Porter, Rosalyn Norman, Rachel Gilbert, Lucy |
Contact Email: | ran@maths.stir.ac.uk |
Keywords: | Louping ill virus Mathematical model Sheep tick mop Tick borne Animal management Tick-borne diseases Tick control Domestic animals |
Issue Date: | 2011 |
Date Deposited: | 17-Dec-2010 |
Citation: | Porter R, Norman R & Gilbert L (2011) Controlling tick-borne diseases through domestic animal management: a theoretical approach. Theoretical Ecology, 4 (3), pp. 321-339. https://doi.org/10.1007/s12080-010-0080-2 |
Abstract: | Vector-borne diseases are of global importance to human and animal health. Empirical trials of effective methods to control vectors and their pathogens can be difficult for practical, financial and ethical reasons. Here, therefore, we use a mathematical model to predict the effectiveness of a vector-borne disease control method. As a case study, we use the tick-louping ill virus system, where sheep are treated with acaricide in an attempt to control ticks and disease in red grouse, an economically important game bird. we ran the model under different scenarios of sheep flock sizes, alternative host (deer) densities, acaricide efficacies and tick burdens. The model predicted that, with very low deer densities, using sheep as tick mops can reduce the tick population and virus prevalence. However, treatment is ineffective above a certain threshold deer density, dependent on the comparative tick burden on sheep and deer. The model also predicted that high efficacy levels of acaricide must be maintained for effective tick control. This study suggests that benignly managing one host species to protect another host species from a vector and pathogen can be effective under certain conditions. It also highlights the importance of understanding the ecological complexity of a system, in order to target control methods only under certain circumstances for maximum effectiveness. |
DOI Link: | 10.1007/s12080-010-0080-2 |
Rights: | This item is embargoed whilst it is awaiting official publication. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.; The original publication is available at www.springerlink.com; Published in Theoretical Ecology, available online 20 May 2010. http://www.springerlink.com/content/7487387811473886/ |
Files in This Item:
File | Description | Size | Format | |
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porter10rbp.pdf | Fulltext - Accepted Version | 501.54 kB | Adobe PDF | View/Open |
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