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Heterogeneity in the risk of Mycobacterium bovis infection in European badger (Meles meles) cubs

Published online by Cambridge University Press:  22 March 2013

A. J. TOMLINSON*
Affiliation:
Food and Environment Research Agency, Sand Hutton, York, UK
M. A. CHAMBERS
Affiliation:
Department for Bovine Tuberculosis, Animal Health and Veterinary Laboratories Agency, New Haw, Addlestone, Surrey, UK
S. P. CARTER
Affiliation:
Food and Environment Research Agency, Sand Hutton, York, UK
G. J. WILSON
Affiliation:
Food and Environment Research Agency, Sand Hutton, York, UK
G. C. SMITH
Affiliation:
Food and Environment Research Agency, Sand Hutton, York, UK
R. A. McDONALD
Affiliation:
Environment and Sustainability Institute, University of Exeter, Cornwall Campus, Penryn, Cornwall, UK
R. J. DELAHAY
Affiliation:
Food and Environment Research Agency, Sand Hutton, York, UK
*
*Author for correspondence: Dr A. J. Tomlinson, Fera, Woodchester Park, Nympsfield, Stonehouse GL10 3UJ, UK. (Email: Alexandra.tomlinson@fera.gsi.gov.uk)
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Summary

The behaviour of certain infected individuals within socially structured populations can have a disproportionately large effect on the spatio-temporal distribution of infection. Endemic infection with Mycobacterium bovis in European badgers (Meles meles) in Great Britain and Ireland is an important source of bovine tuberculosis in cattle. Here we quantify the risk of infection in badger cubs in a high-density wild badger population, in relation to the infection status of resident adults. Over a 24-year period, we observed variation in the risk of cub infection, with those born into groups with resident infectious breeding females being over four times as likely to be detected excreting M. bovis than cubs from groups where there was no evidence of infection in adults. We discuss how our findings relate to the persistence of infection at both social group and population level, and the potential implications for disease control strategies.

Information

Type
Original Papers
Copyright
Copyright © Crown Copyright. Published by Cambridge University Press 2013 
Figure 0

Table 1. Hierarchical categorization of each social group in each year for dataset A (badger captures from 1982 to 2005), based on the infection status of all adults and reproductive status of adult females captured in the group from May to the following January

Figure 1

Table 2. Hierarchical categorization of each social group in each year for dataset B (badger captures from 2006 to 2011), based on the infection status of all adults and reproductive status of adult females captured in the group from May to the following January

Figure 2

Fig. 1. Annual fluctuations in the percentage of social groups with a resident breeding excretor female badger from 1982 to 2010 inclusive, with the percentage of cubs detected as seropositive [Brock ELISA 1982–2005, Stat-Pak (SP) from 2006] and IFN-γ positive (from 2006 only) superimposed.

Figure 3

Table 3. Results from a logistic regression investigating the influence of natal group infection status on the likelihood of badger cubs being detected as seropositive using the Brock ELISA (n = 1761 tested from 1982 to 2005 inclusive)

Figure 4

Table 4. Results from a logistic regression investigating the influence of natal group infection status on the likelihood of badger cubs being detected as excreting M. bovis by clinical sampling (n = 1815 cubs tested from 1982 to 2005 inclusive)

Figure 5

Table 5. Results from a logistic regression investigating the influence of natal group infection status on the likelihood of a badger cub being detected as IFN-γ positive (n = 266 cubs tested from July 2006 to January 2011 inclusive)

Figure 6

Table 6. Results from a logistic regression investigating the influence of natal group infection status on the likelihood of a cub being detected as Stat-Pak positive (n = 266 cubs tested from July 2006 to January 2011 inclusive)