Abstract
Endemic diseases of cattle, such as bovine viral diarrhea, have significant impact on production efficiency of food
of animal origin with consequences for animal welfare and climate change reduction targets. Many modeling
studies focus on the local scale, examining the on-farm dynamics of this infectious disease. However, insight into
prevalence and control across a network of farms ultimately requires a network level approach. Here, we
implement understanding of infection dynamics, gained through these detailed on-farm modeling studies, to
produce a national scale model of bovine viral diarrhea virus transmission. The complex disease epidemiology and
on-farm dynamics are approximated using SIS dynamics with each farm treated as a single unit. Using a top down
approach, we estimate on-farm parameters associated with contraction and subsequent clearance from infection at
herd level. We examine possible control strategies associated with animal movements between farms and find
measures targeted at a small number of high-movement farms efficient for rapid and sustained prevalence
reduction.
Original language | English |
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Journal | Veterinary Research |
Volume | 43 |
Issue number | 11 |
DOIs | |
Publication status | First published - 2012 |
Bibliographical note
1023297Keywords
- Bovine viral diarrhoea
- Cattle
- Endemic diseases
- Network modeling