Filariidae:Cross-Protection in Filarial Infections

Geiger, Stefan Michael; Hoffmann, W. H.; Rapp, Joachim; Schulz‐Key, H.; Eisenbeiss, Wilhelm F.

doi:10.1006/expr.1996.0083

Cited by 8 publications

(1 citation statement)

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“…Nonetheless, there are many pairs of species that meet the condition explored here. For example, Geiger et al (1996) showed that in rodents there is both homologous and heterologous protection against establishment of the filarial species Acanthocheilonema viteae and Monanema martini. Furthermore, the effect that each In (A-C) intra-and interspecific interactions are antagonistic ; 1 of the 2 species has a convex age-intensity profile when the parameter values for the 2 species are not the same.…”

Section: Linearizationmentioning

confidence: 99%

Population biology of multispecies helminth infection: interspecific interactions and parasite distribution

Bottomley¹,

Isham

Basáñez

2005

Parasitology

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Despite evidence for the existence of interspecific interactions between helminth species, there has been no theoretical exploration of their effect on the distribution of the parasite species in a host population. We use a deterministic model for the accumulation and loss of adult worms of 2 interacting helminth species to motivate an individual-based stochastic model. The mean worm burden and variance[ratio ]mean ratio (VMR) of each species, and the correlation between the two species are used to describe the distribution within different host age classes. We find that interspecific interactions can produce convex age-intensity profiles and will impact the level of aggregation (as measured by the VMR). In the absence of correlated exposure, the correlation in older age classes may be close to zero when either intra- or interspecific synergistic effects are strong. We therefore suggest examining the correlation between species in young hosts as a possible means of identifying interspecific interaction. The presence of correlation between the rates of exposure makes the interpretation of correlations between species more difficult. Finally we show that in the absence of interaction, strong positive correlations are generated by averaging across most age classes.

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Section: Linearizationmentioning

confidence: 99%