Coupling models of cattle and farms with models of badgers for predicting the dynamics of bovine tuberculosis (TB)
Aristides Moustakas, and Matthew R. Evans

TL;DR
This study develops a spatially explicit coupled model of bovine TB transmission between cattle and badgers, analyzing control strategies and highlighting the importance of testing frequency and winter housing in disease management.
Contribution
It introduces a novel large-scale, spatially explicit model coupling cattle and badger populations to study bovine TB dynamics and control strategies.
Findings
Testing frequency significantly reduces infection prevalence.
Winter housing effects increase with farm size.
Badger culling has limited impact on infection levels.
Abstract
Bovine TB is a major problem for the agricultural industry in several countries. TB can be contracted and spread by species other than cattle and this can cause a problem for disease control. In the UK and Ireland, badgers are a recognised reservoir of infection and there has been substantial discussion about potential control strategies. We present a coupling of individual based models of bovine TB in badgers and cattle, which aims to capture the key details of the natural history of the disease and of both species at approximately county scale. The model is spatially explicit it follows a very large number of cattle and badgers on a different grid size for each species and includes also winter housing. We show that the model can replicate the reported dynamics of both cattle and badger populations as well as the increasing prevalence of the disease in cattle. Parameter space used as…
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