Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22424
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Past and future perspectives on mathematical models of tick-borne pathogens
Author(s): Norman, Rachel A
Worton, Adrian J
Gilbert, Lucy
Contact Email: r.a.norman@stir.ac.uk
Keywords: Tick-borne pathogen
mathematical model
Louping ill
Lyme disease
Issue Date: Jun-2016
Date Deposited: 4-Nov-2015
Citation: Norman RA, Worton AJ & Gilbert L (2016) Past and future perspectives on mathematical models of tick-borne pathogens. Parasitology, 143 (7), pp. 850-859. https://doi.org/10.1017/S0031182015001523
Abstract: Ticks are vectors of pathogens which are important both with respect to human health and economically. They have a complex lifecycle requiring several blood meals throughout their life. These blood meals take place on different individual hosts and potentially on different host species. Their lifecycle is also dependent on environmental conditions such as the temperature and habitat type. Mathematical models have been used for the more than 30 years to help us understand how tick dynamics are dependent on these environmental factors and host availability. In this paper we review models of tick dynamics and summarise the main results. This summary is split into two parts, one which looks at tick dynamics and one which looks at tick borne-pathogens. In general, the models of tick dynamics are used to determine when the peak in tick densities is likely to occur in the year and how that changes with environmental conditions. The models of tick borne pathogens focus more on the conditions under which the pathogen can persist and how host population densities might be manipulated to control these pathogens. In the final section of the paper we identify gaps in the current knowledge and future modelling approaches.
DOI Link: 10.1017/S0031182015001523
Rights: This item has been embargoed for a period. During the embargo 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. Publisher policy allows this work to be made available in this repository. Published in Parasitology by Cambridge University Press. Copyright © Cambridge University Press 2015

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Mathematical models of tick borne diseases

What is it about?

In this paper we review mathematical models of tick borne infections and look at how they have developed over time. We then go on to look at how they are likely to change in the future and look at the use of a dynamic GIS model to predict changes in tick density across Scotland in response to climate change.

Why is it important?

Tick borne diseases are increasing globally and can infect both animals and humans. Understanding how they spread and how the risks might change in the future is very important both for economic and public health reasons. Mathematical models can give us a good understanding of the important factors in how ticks spread infection. In this paper we review previous work in this area and make predictions about what sort of models we might expect to see in the future.

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