Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-rvbq7 Total loading time: 0 Render date: 2024-07-12T10:30:54.626Z Has data issue: false hasContentIssue false

6 - Epidemic Waves in Animal Populations: A Case Study

Published online by Cambridge University Press:  05 June 2012

Ellis Cumberbatch
Affiliation:
Claremont Graduate School, California
Alistair Fitt
Affiliation:
University of Southampton
Get access

Summary

Preface

The application of mathematics to biology has led to tremendous advances in the understanding of plant and animal dynamics and growth. Paramount among these areas is the spread of diseases. The application described here motivated the adaption of diffusive wave analysis to the spread of haemorrhagic disease among rabbit populations in New Zealand. The disease was introduced as an attempt, initially illegal but subsequently legalised, to control the burgeoning rabbit population in highly productive farming areas. The conceptual basis adopted was that there is a threshold maximum value of the spatial density of healthy rabbits (“susceptibles”) below which the disease will not propagate. The dependence of the wave speed on the density (when it is above the threshold) can also be evaluated.

The procedure is generic and can be applied to a wide range of modelling scenarios. The nonlinear dynamics involves a range of parameters which are determined from data: the infectivity of the disease, the dispersion constant, and the infected death rate.

The purpose of this project was to see if the predicted threshold matches that seen in practice, with a view to assisting the understanding of the disease spread and the ability of it to deal with the huge problem of the endemic rabbit population many farming areas have.

The values obtained for the threshold density are close to those observed in practice and indicate that the model used is approximately correct. Of course many questions remain about the method of disease transmission. The effect of wind is taken into account. The methods employed are a healthy mix of analytical and numerical techniques, demonstrating again the interplay that underpins many successful solutions of nonlinear systems.

Type
Chapter
Information
Mathematical Modeling
Case Studies from Industry
, pp. 115 - 134
Publisher: Cambridge University Press
Print publication year: 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×