Literature DB >> 18275805

Influence of contact heterogeneity on TB reproduction ratio R0 in a free-living brushtail possum Trichosurus vulpecula population.

Thibaud Porphyre1, Mark Stevenson, Ron Jackson, Joanna McKenzie.   

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 R(0) for bovine tuberculosis (TB). Using data collected during a five-year capture-mark-recapture study of a free-living possum population, observed estimates of R(0) were computed and compared with R(0) 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 R(0) 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.

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Year:  2008        PMID: 18275805     DOI: 10.1051/vetres:2008007

Source DB:  PubMed          Journal:  Vet Res        ISSN: 0928-4249            Impact factor:   3.683


  13 in total

1.  Disease transmission in territorial populations: the small-world network of Serengeti lions.

Authors:  Meggan E Craft; Erik Volz; Craig Packer; Lauren Ancel Meyers
Journal:  J R Soc Interface       Date:  2010-10-28       Impact factor: 4.118

Review 2.  Infectious disease transmission and contact networks in wildlife and livestock.

Authors:  Meggan E Craft
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-26       Impact factor: 6.237

3.  Incorporating genomic methods into contact networks to reveal new insights into animal behavior and infectious disease dynamics.

Authors:  Marie L J Gilbertson; Nicholas M Fountain-Jones; Meggan E Craft
Journal:  Behaviour       Date:  2019-03-18       Impact factor: 1.991

4.  Contact rates of wild-living and domestic dog populations in Australia: a new approach.

Authors:  Jessica Sparkes; Guy Ballard; Peter J S Fleming; Remy van de Ven; Gerhard Körtner
Journal:  Oecologia       Date:  2016-09-22       Impact factor: 3.225

5.  Network models: an underutilized tool in wildlife epidemiology?

Authors:  Meggan E Craft; Damien Caillaud
Journal:  Interdiscip Perspect Infect Dis       Date:  2011-03-10

6.  Predicting the Effectiveness of Endemic Infectious Disease Control Interventions: The Impact of Mass Action versus Network Model Structure.

Authors:  Giovanni S P Malloy; Jeremy D Goldhaber-Fiebert; Eva A Enns; Margaret L Brandeau
Journal:  Med Decis Making       Date:  2021-04-24       Impact factor: 2.749

Review 7.  Epidemiology and control of Mycobacterium bovis infection in brushtail possums (Trichosurus vulpecula), the primary wildlife host of bovine tuberculosis in New Zealand.

Authors:  G Nugent; B M Buddle; G Knowles
Journal:  N Z Vet J       Date:  2015-02-03       Impact factor: 1.628

8.  The risk of disease to great apes: simulating disease spread in orang-utan (Pongo pygmaeus wurmbii) and chimpanzee (Pan troglodytes schweinfurthii) association networks.

Authors:  Charlotte Carne; Stuart Semple; Helen Morrogh-Bernard; Klaus Zuberbühler; Julia Lehmann
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

Review 9.  Networks and the ecology of parasite transmission: A framework for wildlife parasitology.

Authors:  Stephanie S Godfrey
Journal:  Int J Parasitol Parasites Wildl       Date:  2013-09-18       Impact factor: 2.674

10.  Infection-induced behavioural changes reduce connectivity and the potential for disease spread in wild mice contact networks.

Authors:  Patricia C Lopes; Per Block; Barbara König
Journal:  Sci Rep       Date:  2016-08-22       Impact factor: 4.379

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