ArticleEpidemiology and infection2016
Diagnosis of tuberculosis in groups of badgers: an exploration of the impact of trapping efficiency, infection prevalence and the use of multiple tests.
Article in Epidemiology and infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnosis of tuberculosis in wildlife: a systematic review.Veterinary research · 2021Pooled it
- Metabolomic changes in the peripheral blood of wild trapped badgers (Meles meles) correlate with bovine tuberculosis (Mycobacterium bovis) infection status.BMC veterinary research · 2025Article
- Evaluating sensitivity and specificity of the DPP Vet TB assay in badgers using Bayesian latent class models.PloS one · 2025Article
- Combining Analytical Approaches and Multiple Sources of Information to Improve Interpretation of Diagnostic Test Results for Tuberculosis in Wild Meerkats.Animals : an open access journal from MDPI · 2021Article
- Spatial and Temporal Distribution ofAnimals : an open access journal from MDPI · 2021Article
- A Bayesian analysis of a Test and Vaccinate or Remove study to control bovine tuberculosis in badgers (Meles meles).PloS one · 2021Article
- Quantitative interferon-gamma responses predict future disease progression in badgers naturally infected with Mycobacterium bovis.Epidemiology and infection · 2017Article
- Inference of the infection status of individuals using longitudinal testing data from cryptic populations: Towards a probabilistic approach to diagnosis.Scientific reports · 2017Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate detection of infection with Mycobacterium bovis in live badgers would enable targeted tuberculosis control. Practical challenges in sampling wild badger populations mean that diagnosis of infection at the group (rather than the individual) level is attractive. We modelled data spanning 7 years containing over 2000 sampling events from a population of wild badgers in southwest England to quantify the ability to correctly identify the infection status of badgers at the group level. We explored the effects of variations in: (1) trapping efficiency; (2) prevalence of M. bovis; (3) using three diagnostic tests singly and in combination with one another; and (4) the number of badgers required to test positive in order to classify groups as infected. No single test was able to reliably identify infected badger groups if 80% sensitive, at least 94% specific, and able to be performed rapidly in the field.
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