Modelling group
at the Department of Medical Biometry, University of Tübingen

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Influenza
Emerging diseases
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Poliomyelitis
Malaria
Onchocerciasis
Filariases
  Introduction
  Eradicability
       Summary
       Pesistence graph
       Uncertainties
       Limitation and control
       Limitation
       Facilitation
  Model
  Dispersion patterns
  Glossary
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Impressum

Eradicability of filarial diseases

Distribution of insectizides
Distribution of insectizides

(Source: WHO/TDR/image 9103129)
The eradicability of a filaria disease is not only a matter of practical feasability, but also a matter of theory. The host-parasite relationship developed within millions of years to a stage where the host learned to control the parasite, which itself learned to persist in the host. Both, the host and the parasite, have established processes which regulate their coexistence, and these processes also determine how efficient the parasite can resist against human intervention. The effects of regulatory processes on the eradicability of a disease can be examined by mathematical models which allow for performing sensitivity analyses into the prospects of intervention success.
Persistence graph
The eradicability of filarial infections can be illustrated by persistence graphs. These show how equilibrium parasite burdens, transmission thresholds and breakpoints depend on the number of vector–host contacts and thereby enables the eradicability of an infection to be assessed. More…
Regulatory processes
Density-dependent process can be classified into the processes of facilitaion and limitation. They are best investigated in the example of onchocerciasis. More…
Effect of limitation
Density-dependent process within the host-parasite relationship determine the location of transmission thresholds and breakpoints. More…
Model
Persistence graphs are derived from ABR-specific equilibrium solutions of mathematical models, of which a basic one, is described on a separate page. More…
Uncertainties
Predictions into the eradicability of filarial infections can only be reliable if we sufficiently understand the interactions between the host, the parasite, and the effects of interventions. For example, only a slight density-dependent effect in the efficacy of microfilarial drugs is capable of shifting transmission threshold and breakpoints by some orders of magnitudes. More…

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