According to a study up to 21% of herds clearing restrictions for bovine Tuberculosis (bTB) in Great Britain may be harbouring infection. The study was published in PLOS Computational Biology this week. A cross-disciplinary group of experts in the Disease Dynamics Unit have used mathematical models to provide the first empirical estimates of the efficiency of cattle-based controls for bovine tuberculosis (bTB). The experts are from the University of Cambridge and the Animal Health and Veterinary Laboratories Agency. These models were developed to help policy-makers understand and control bTB as part of a project funded by Defra.
bTB was previously transmitted from cattle to people in untreated milk. However, stringent measures, including pasteurization, introduced by the British government in the 1930s have practically eliminated the risk to people. A rigorous policy reduced disease in herds to minimal levels in the 1960s, but the past 25 years have seen the disease return; around 26,000 cattle were slaughtered for bTB control in England in 2011 alone.
The models were constructed using data taken from infected herds detected through routine surveillance, either in the slaughterhouse, or through routine whole herd tests between 2003-2005.
The work focused on what happens within infected herds. These models cannot predict the extent to which hidden infection contributes to transmission between herds. The models also do not distinguish between the relative roles of the badger and cattle in the spread of bTB. Quantifying the persistence of infection at the herd level is an important first step to answering these questions and provides a basis for developing more complex national models of transmission.
Financial disclosure: This work was funded by Defra, United Kingdom under contract SE3230. AJKC was funded under this grant (PI/T/WL/07/46), sponsored by the Veterinary Laboratories Agency. JLNW was also supported by the Alborada Trust and the RAPIDD program of the Science & Technology Directorate, Department of Homeland Security. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.