Assessing the risk of bluetongue to UK livestock: uncertainty and sensitivity analyses of a temperature-dependent model for the basic reproduction number

Author:

Gubbins Simon1,Carpenter Simon1,Baylis Matthew2,Wood James L.N3,Mellor Philip S1

Affiliation:

1. Institute for Animal Health, Pirbright LaboratoryAsh Road, Pirbright, Surrey GU24 0NF, UK

2. Faculty of Veterinary Clinical Science, University of LiverpoolLeahurst, Neston, Wirral, Cheshire CH64 7TE, UK

3. Cambridge Infectious Diseases Consortium, Department of Veterinary MedicineUniversity of Cambridge, Madingley Road, Cambridge CB3 0ES, UK

Abstract

Since 1998 bluetongue virus (BTV), which causes bluetongue, a non-contagious, insect-borne infectious disease of ruminants, has expanded northwards in Europe in an unprecedented series of incursions, suggesting that there is a risk to the large and valuable British livestock industry. The basic reproduction number, R 0 , provides a powerful tool with which to assess the level of risk posed by a disease. In this paper, we compute R 0 for BTV in a population comprising two host species, cattle and sheep. Estimates for each parameter which influences R 0 were obtained from the published literature, using those applicable to the UK situation wherever possible. Moreover, explicit temperature dependence was included for those parameters for which it had been quantified. Uncertainty and sensitivity analyses based on Latin hypercube sampling and partial rank correlation coefficients identified temperature, the probability of transmission from host to vector and the vector to host ratio as being most important in determining the magnitude of R 0 . The importance of temperature reflects the fact that it influences many processes involved in the transmission of BTV and, in particular, the biting rate, the extrinsic incubation period and the vector mortality rate.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

Reference48 articles.

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5. Sensitivity and Uncertainty Analysis of Complex Models of Disease Transmission: An HIV Model, as an Example

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