Volume 39, Number 3, May-June 2008
|Number of page(s)||13|
|Published online||15 February 2008|
|How to cite this article||Vet. Res. (2008) 39:31|
Influence of contact heterogeneity on TB reproduction ratio R0 in a free-living brushtail possum Trichosurus vulpecula populationThibaud Porphyre, Mark Stevenson, Ron Jackson and Joanna McKenzie
EpiCentre, Institute of Veterinary, Animal, and Biomedical Sciences, Massey University, Private Bag 11222, Palmerston North 4442, New Zealand
(Received 7 September 2007; accepted 25 January 2008; published online 15 February 2008)
Abstract - Social network analyses were used to investigate contact patterns in a free-living possum Trichosurus vulpecula population and to estimate the influence of contact on R0 for bovine tuberculosis (TB). Using data collected during a five-year capture-mark-recapture study of a free-living possum population, observed estimates of R0 were computed and compared with R0 computed from random networks of similar size that approximated a random mixing process. All networks displayed a heterogeneous pattern of contact with the average number of contacts per possum ranging from 20 to 26 per year. The networks consistently showed small-world and single-scale features. The mean estimates of R0 for TB using the observed contact networks were 1.78, 1.53, 1.53, 1.51, and 1.52 times greater than the corresponding random networks (P <0.05). We estimate that TB would spread if an average of between 1.94 and 1.97 infective contacts occurred per year per infected possum, which is approximately half of that expected from a random network. These results have implications for the management of TB in New Zealand where the possum is the principal wildlife reservoir host of Mycobacterium bovis, the causal agent of bovine TB. This study argues the relevance of refining epidemiological models used to inform disease management policy to account for contact heterogeneity.
Key words: basic reproduction ratio / Mycobacterium bovis / small-world / social network analysis / wildlife disease
Corresponding author: email@example.com
© INRA, EDP Sciences 2008
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