Literature DB >> 25458881

Multi-species visit rates to farmyards: implications for biosecurity.

D T O'Mahony1.   

Abstract

Disease transmission dynamics between wildlife and livestock are likely to be affected by contacts between the two populations. In this study, rates of visitation of rodents, badgers, red foxes and cats to 11 farmyards were quantified from July 2012 to August 2013. There was variation in rates of visitation between different species and between farmyards. Rates of visitation were 60.3% (n = 2374) for cats, 19.1% (n = 751) for rodents, 16.7% (n = 657) for red foxes and 3.9% (n = 153) for badgers. Multi-species visits are relevant to disease transmission, highlighting the need for increased biosecurity on farms.
Copyright © 2014. Published by Elsevier Ltd.

Entities:  

Keywords:  Badgers; Cats; Farm biosecurity; Red foxes; Rodents

Mesh:

Year:  2014        PMID: 25458881     DOI: 10.1016/j.tvjl.2014.10.011

Source DB:  PubMed          Journal:  Vet J        ISSN: 1090-0233            Impact factor:   2.688


  4 in total

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Authors:  S C Ring; D C Purfield; M Good; P Breslin; E Ryan; A Blom; R D Evans; M L Doherty; D G Bradley; D P Berry
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

2.  Interspecific visitation of cattle and badgers to fomites: A transmission risk for bovine tuberculosis?

Authors:  Emma L Campbell; Andrew W Byrne; Fraser D Menzies; Kathryn R McBride; Carl M McCormick; Michael Scantlebury; Neil Reid
Journal:  Ecol Evol       Date:  2019-07-09       Impact factor: 2.912

3.  Predicting badger visits to farm yards and making predictions available to farmers.

Authors:  Andrew Robertson; Joanna Judge; G J Wilson; Ian J Vernon; Richard J Delahay; Robbie A McDonald
Journal:  PLoS One       Date:  2019-05-24       Impact factor: 3.240

4.  Towards a unified generic framework to define and observe contacts between livestock and wildlife: a systematic review.

Authors:  Sonny A Bacigalupo; Linda K Dixon; Simon Gubbins; Adam J Kucharski; Julian A Drewe
Journal:  PeerJ       Date:  2020-10-26       Impact factor: 2.984

  4 in total

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