Literature DB >> 24156807

Badger social networks correlate with tuberculosis infection.

Nicola Weber1, Stephen P Carter, Sasha R X Dall, Richard J Delahay, Jennifer L McDonald, Stuart Bearhop, Robbie A McDonald.   

Abstract

Although disease hosts are classically assumed to interact randomly [1], infection is likely to spread across structured and dynamic contact networks [2]. We used social network analyses to investigate contact patterns of group-living European badgers, Meles meles, which are an important wildlife reservoir of bovine tuberculosis (TB). We found that TB test-positive badgers were socially isolated from their own groups but were more important for flow, potentially of infection, between social groups. The distinctive social position of infected badgers may help explain how social stability mitigates, and social perturbation increases, the spread of infection in badgers.

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Year:  2013        PMID: 24156807     DOI: 10.1016/j.cub.2013.09.011

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  39 in total

1.  Graphery: interactive tutorials for biological network algorithms.

Authors:  Heyuan Zeng; Jinbiao Zhang; Gabriel A Preising; Tobias Rubel; Pramesh Singh; Anna Ritz
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

2.  Friends of friends: are indirect connections in social networks important to animal behaviour?

Authors:  Lauren J N Brent
Journal:  Anim Behav       Date:  2015-05-01       Impact factor: 2.844

3.  The use of multilayer network analysis in animal behaviour.

Authors:  Kelly R Finn; Matthew J Silk; Mason A Porter; Noa Pinter-Wollman
Journal:  Anim Behav       Date:  2019-02-05       Impact factor: 2.844

4.  Indirectly connected: simple social differences can explain the causes and apparent consequences of complex social network positions.

Authors:  Josh A Firth; Ben C Sheldon; Lauren J N Brent
Journal:  Proc Biol Sci       Date:  2017-11-29       Impact factor: 5.349

5.  Using Social Network Measures in Wildlife Disease Ecology, Epidemiology, and Management.

Authors:  Matthew J Silk; Darren P Croft; Richard J Delahay; David J Hodgson; Mike Boots; Nicola Weber; Robbie A McDonald
Journal:  Bioscience       Date:  2017-02-01       Impact factor: 8.589

6.  Infectious disease and sickness behaviour: tumour progression affects interaction patterns and social network structure in wild Tasmanian devils.

Authors:  David G Hamilton; Menna E Jones; Elissa Z Cameron; Douglas H Kerlin; Hamish McCallum; Andrew Storfer; Paul A Hohenlohe; Rodrigo K Hamede
Journal:  Proc Biol Sci       Date:  2020-12-09       Impact factor: 5.349

7.  Fevers and the social costs of acute infection in wild vervet monkeys.

Authors:  Richard McFarland; S Peter Henzi; Louise Barrett; Tyler Bonnell; Andrea Fuller; Christopher Young; Robyn S Hetem
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-02       Impact factor: 11.205

8.  Declines in large wildlife increase landscape-level prevalence of rodent-borne disease in Africa.

Authors:  Hillary S Young; Rodolfo Dirzo; Kristofer M Helgen; Douglas J McCauley; Sarah A Billeter; Michael Y Kosoy; Lynn M Osikowicz; Daniel J Salkeld; Truman P Young; Katharina Dittmar
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-28       Impact factor: 11.205

9.  The impact of social structure on breeding strategies in an island bird.

Authors:  Grant C McDonald; Noémie Engel; Sara S Ratão; Tamás Székely; András Kosztolányi
Journal:  Sci Rep       Date:  2020-08-17       Impact factor: 4.379

10.  Negative density-dependent parasitism in a group-living carnivore.

Authors:  Gregory F Albery; Chris Newman; Julius Bright Ross; David W MacDonald; Shweta Bansal; Christina Buesching
Journal:  Proc Biol Sci       Date:  2020-12-16       Impact factor: 5.349

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