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Human and livestock diseases can be difficult to control where infection persists in wildlife populations. In Britain, European badgers (Meles meles) are implicated in transmitting Mycobacterium bovis, the causative agent of bovine tuberculosis (TB), to cattle. Badger culling has therefore been a component of British TB control policy for many years. However, large-scale field trials have recently shown that badger culling has the capacity to cause both increases and decreases in cattle TB incidence. Here, we show that repeated badger culling in the same area is associated with increasing prevalence of M. bovis infection in badgers, especially where landscape features allow badgers from neighboring land to recolonize culled areas. This impact on prevalence in badgers might reduce the beneficial effects of culling on cattle TB incidence, and could contribute to the detrimental effects that have been observed. Additionally, we show that suspension of cattle TB controls during a nationwide epidemic of foot and mouth disease, which substantially delayed removal of TB-affected cattle, was associated with a widespread increase in the prevalence of M. bovis infection in badgers. This pattern suggests that infection may be transmitted from cattle to badgers, as well as vice versa. Clearly, disease control measures aimed at either host species may have unintended consequences for transmission, both within and between species. Our findings highlight the need for policymakers to consider multiple transmission routes when managing multihost pathogens.

Original publication

DOI

10.1073/pnas.0606251103

Type

Journal article

Journal

Proceedings of the National Academy of Sciences of the United States of America

Publication Date

02/10/2006

Volume

103

Pages

14713 - 14717

Addresses

Department of Wildlife, Fish, and Conservation Biology, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA. rwoodroffe@ucdavis.edu

Keywords

Animals, Cattle, Mustelidae, Humans, Mycobacterium bovis, Tuberculosis, Bovine, Foot-and-Mouth Disease, Serotyping, Prevalence, Logistic Models, Risk Factors, Disease Outbreaks