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Neospora

Does it Make Sense to Monitor and Control it?
Authors: Gay, John M.;
Abstract

Although more research is needed to improve our understanding of the epidemiology of bovine neosporosis, our current knowledge is likely sufficient for developing effective control and monitoring strategies. The decision of whether or not it makes sense to monitor and control the infection in a given herd depends on a complex set of factors that differ between herds and regions. Control likely should be considered in the light of resource limitations, management goals and other problems and opportunities faced by the herd. Several authors have suggested that practitioners should consider performing a cost-benefit analysis on each herd to determine the critical prevalence threshold for undertaking a herd control program and to determine the best strategy. Currently the optimal control method appears to be testing potential replacements for seronegativity prior to their selection, but the optimal strategy will likely change with increased understanding, and as improved vaccines and even therapies emerge. Simplicity does not precede complexity, but follows it. (Alan Perlis)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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