Epidemiology of Bovine Digital Dermatitis (BDD):

causality, transmission and infection dynamics
» Home
» BDD in context
» Molecular epidemiology
» Diagnostic protocols
» Cross-sectional study
» Longitudinal study
» Mathematical models
» Selective bibliography




BDD in context: a literature review
This literature review covers general aspects of BDD, including economic impacts, welfare issues and our current understanding of its epidemiology.

In the 20 years since BDD was first observed in the UK, the majority of UK dairy farms have become infected, and there are indications that the infection is still spreading further (Laven, 2003). BDD is currently considered to be the leading infectious cause of lameness in the dairy sector in the UK. Given the intense painfulness of the disease, it is a leading welfare concern, which seems bound to further increase in significance.

Studies over the past decade have showed a trend of rising prevalence (Somers et al., 2005; Holzhauer et al., 2006), both in terms of the proportion of farms infected as the morbidity on the farm level; Holzhauer et al. (2006) suggest that this may be due to prolonged housing periods. Laven and Lawrence (2006) found that the seasonality of BDD incidence has decreased since 1997, ascribing this to the disease having become endemic on most farms, and persisting into the grazing period.

BDD is a complex condition. The current understanding of the aetiology, pathogenesis and epidemiology of BDD is far from complete. The rapid and pervasive spread of BDD may have altered the infection dynamics of the disease, posing new challenges for investigation and the design of practical and effective control measures.

On the basis of published information and existing knowledge, causal mechanisms of BDD are discussed in detail; the hypotheses presented here were used as a basis for subsequent investigation. The evidence that BDD-associated Treponema spp. bacteria represent the ‘necessary cause’ is becoming increasingly strong (Demirkan et al., 2006; Edwards et al., 2003; Stamm et al., 2002; Trott et al., 2003; Walker et al., 1995); we have assumed this to be the case. However, it is clear that this is a highly multifactorial disease, and hence a complex of other component causes has been identified. These consist of demonstrated as well as hypothetical (‘biologically plausible’) factors. It is currently unknown which of these causes combine with the ‘necessary’ cause to result in a ‘sufficient’ cause which will bring about clinical BDD. A set of component causes was incorporated into a causal web, which exhibits a hierarchical structure, from proximate (physiological) causes to more distal effects (management factors). This causal web was useful for directing our thinking about the aetiology, pathogenesis and transmission; the definition of variables of interest; and identifying possible confounders and sources of interaction. As the causal web had BDD as the outcome and explicitly defined a hierarchical structure, it also lent itself to the fitting of multivariable multilevel models.


Fig. W1. A causal diagram showing the hierarchical relationship between the development of BDD lesions and physiological
factors (animal level), proximal effects (management group level) and distal effects (farm and sectorial levels)
Top of page
© Willem Daniel Vink 2006