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Most epidemiological models assume that disease is the inevitable outcome of infection (see Bailey, 1957). Yet as Dubos (1965) has said; ‘Throughout nature, infection without disease is the rule rather than the exception’. There are, in fact, many diseases whose distribution cannot be explained solely by a consideration of the probabilities of host parasite encounters. In these cases, a diseased state is only one possible outcome of an interaction between parasite phenotypes, host phenotypes and the external environment. Haemonchosis is an example of such a disease and has been studied extensively in quantitative terms (see Whitlock & Georgi, 1968).
Sheep, Systems Analysis, Ecology, Hematocrit, Trichostrongyloidea, Erythrocyte Count, Animals, Sheep Diseases, Erythropoiesis, Epidemiologic Methods, Models, Biological, Trichostrongyloidiasis
Sheep, Systems Analysis, Ecology, Hematocrit, Trichostrongyloidea, Erythrocyte Count, Animals, Sheep Diseases, Erythropoiesis, Epidemiologic Methods, Models, Biological, Trichostrongyloidiasis
| citations 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). | 18 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
