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Mathematical models and lymphatic filariasis control: endpoints and optimal interventions.

Identifieur interne : 007A89 ( Main/Merge ); précédent : 007A88; suivant : 007A90

Mathematical models and lymphatic filariasis control: endpoints and optimal interventions.

Auteurs : Edwin Michael [Royaume-Uni] ; Mwele N. Malecela-Lazaro ; Conrad Kabali ; Lucy C. Snow ; James W. Kazura

Source :

RBID : pubmed:16564745

Descripteurs français

English descriptors

Abstract

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.

DOI: 10.1016/j.pt.2006.03.005
PubMed: 16564745

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Le document en format XML

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<div type="abstract" xml:lang="en">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.</div>
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