Mathematical models and lymphatic filariasis control: endpoints and optimal interventions

The current global initiative to eliminate lymphatic filariasis is a major renewed commitment to reduce or eliminate the burden of one of the major helminth infections from resource-poor communities of the world. Mathematical models of filariasis transmission can serve as an effective tool for guidi...

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Bibliographic Details
Published in:Trends in parasitology 2006-05, Vol.22 (5), p.226-233
Main Authors: Michael, Edwin, Malecela-Lazaro, Mwele N., Kabali, Conrad, Snow, Lucy C., Kazura, James W.
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Animals
Antibiotics. Antiinfectious agents. Antiparasitic agents
Antiparasitic agents
Biological and medical sciences
Elephantiasis, Filarial - drug therapy
Elephantiasis, Filarial - epidemiology
Elephantiasis, Filarial - prevention & control
Elephantiasis, Filarial - transmission
Epidemiologic Methods
Filaricides - therapeutic use
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Humans
Mathematics
Medical sciences
Methods and techniques (sampling, tagging, trapping, modelling...)
Models, Biological
Models, Theoretical
Mosquito Control - methods
Pharmacology. Drug treatments
Prevalence
Wuchereria bancrofti - drug effects
Wuchereria bancrofti - pathogenicity
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Summary:The current global initiative to eliminate lymphatic filariasis is a major renewed commitment to reduce or eliminate the burden of one of the major helminth infections from resource-poor communities of the world. Mathematical models of filariasis transmission can serve as an effective tool for guiding the scientific development and management of successful community-level intervention programmes by acting as analytical frameworks for integrating knowledge regarding parasite transmission dynamics with programmatic factors. However, the power of these tools for supporting control interventions will be realized fully only if researchers address the current uncertainties and gaps in data and knowledge of filarial population dynamics and the effectiveness of currently proposed filariasis intervention options.
ISSN:1471-4922
1471-5007
DOI:10.1016/j.pt.2006.03.005