Document Detail

Multi-state modelling reveals sex-dependent transmission, progression and severity of tuberculosis in wild badgers.
MedLine Citation:
PMID:  23290694     Owner:  NLM     Status:  Publisher    
SUMMARY Statistical models of epidemiology in wildlife populations usually consider diseased individuals as a single class, despite knowledge that infections progress through states of severity. Bovine tuberculosis (bTB) is a serious zoonotic disease threatening the UK livestock industry, but we have limited understanding of key epidemiological processes in its wildlife reservoirs. We estimated differential survival, force of infection and progression in disease states in a population of Eurasian badgers (Meles meles), naturally infected with bTB. Our state-dependent models overturn prevailing categorizations of badger disease states, and find novel evidence for early onset of disease-induced mortality in male but not female badgers. Males also have higher risk of infection and more rapid disease progression which, coupled with state-dependent increases in mortality, could promote sex biases in the risk of transmission to cattle. Our results reveal hidden complexities in wildlife disease epidemiology, with implications for the management of TB and other zoonotic diseases.
J Graham; G C Smith; R J Delahay; T Bailey; R A McDonald; D Hodgson
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-7
Journal Detail:
Title:  Epidemiology and infection     Volume:  -     ISSN:  1469-4409     ISO Abbreviation:  Epidemiol. Infect.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-7     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8703737     Medline TA:  Epidemiol Infect     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1-8     Citation Subset:  -    
Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Tremough, Penryn, Cornwall, UK.
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