Modelling the epidemiology, transmission and control of lymphatic filariasis.
Identifieur interne : 004331 ( PubMed/Curation ); précédent : 004330; suivant : 004332Modelling the epidemiology, transmission and control of lymphatic filariasis.
Auteurs : P K Das [Inde] ; S. SubramanianSource :
- Annals of tropical medicine and parasitology [ 0003-4983 ] ; 2002.
Descripteurs français
- KwdFr :
- Animaux, Association de médicaments, Diéthylcarbamazine (usage thérapeutique), Dynamique des populations, Filaricides (usage thérapeutique), Filariose lymphatique (), Filariose lymphatique (transmission), Filariose lymphatique (épidémiologie), Humains, Ivermectine (usage thérapeutique), Lutte contre les moustiques (), Modèles biologiques, Prévalence, Reproductibilité des résultats, Résultat thérapeutique, Simulation numérique, Wuchereria bancrofti (physiologie).
- MESH :
- physiologie : Wuchereria bancrofti.
- usage thérapeutique : Diéthylcarbamazine, Filaricides, Filariose lymphatique, Ivermectine.
- épidémiologie : Filariose lymphatique.
- Animaux, Association de médicaments, Dynamique des populations, Filariose lymphatique, Humains, Lutte contre les moustiques, Modèles biologiques, Prévalence, Reproductibilité des résultats, Résultat thérapeutique, Simulation numérique.
English descriptors
- KwdEn :
- Animals, Computer Simulation, Diethylcarbamazine (therapeutic use), Drug Therapy, Combination, Elephantiasis, Filarial (epidemiology), Elephantiasis, Filarial (prevention & control), Elephantiasis, Filarial (transmission), Filaricides (therapeutic use), Humans, Ivermectin (therapeutic use), Models, Biological, Mosquito Control (methods), Population Dynamics, Prevalence, Reproducibility of Results, Treatment Outcome, Wuchereria bancrofti (physiology).
- MESH :
- chemical , therapeutic use : Diethylcarbamazine, Filaricides, Ivermectin.
- epidemiology : Elephantiasis, Filarial.
- methods : Mosquito Control.
- physiology : Wuchereria bancrofti.
- prevention & control : Elephantiasis, Filarial.
- transmission : Elephantiasis, Filarial.
- Animals, Computer Simulation, Drug Therapy, Combination, Humans, Models, Biological, Population Dynamics, Prevalence, Reproducibility of Results, Treatment Outcome.
Abstract
Wuchereria bancrofti transmitted by Culex quinquefasciatus accounts for >90% of the global burden of lymphatic filariasis (LF). Recent advances in diagnostic and control tools and a better epidemiological understanding of the disease have led to hope that LF is eradicable. The World Health Organization has helped a number of member countries to launch nation-wide programmes of mass treatment with antifilarial drugs such as diethylcarbamazine, albendazole and ivermectin, for the elimination of this disease. In order to make rational decisions about control strategies, reliable predictions of the long-term impact of such treatment, and of alternative interventions, need to be made, and these can only be based on a sound, quantitative understanding of the population biology of the parasites. Mathematical models have proven valuable in gaining quantitative insights into the population dynamics of the parasites, and may be used to make credible predictions of the likely outcomes of various control strategies. This article provides an overview of the development of the relevant mathematical/statistical models and of their application in studies of the epidemiology, transmission and control of lymphatic filariasis.
DOI: 10.1179/000349802125002518
PubMed: 12625928
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Recent advances in diagnostic and control tools and a better epidemiological understanding of the disease have led to hope that LF is eradicable. The World Health Organization has helped a number of member countries to launch nation-wide programmes of mass treatment with antifilarial drugs such as diethylcarbamazine, albendazole and ivermectin, for the elimination of this disease. In order to make rational decisions about control strategies, reliable predictions of the long-term impact of such treatment, and of alternative interventions, need to be made, and these can only be based on a sound, quantitative understanding of the population biology of the parasites. Mathematical models have proven valuable in gaining quantitative insights into the population dynamics of the parasites, and may be used to make credible predictions of the likely outcomes of various control strategies. This article provides an overview of the development of the relevant mathematical/statistical models and of their application in studies of the epidemiology, transmission and control of lymphatic filariasis.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">12625928</PMID><DateCreated><Year>2003</Year><Month>03</Month><Day>10</Day></DateCreated><DateCompleted><Year>2003</Year><Month>04</Month><Day>02</Day></DateCompleted><DateRevised><Year>2013</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0003-4983</ISSN><JournalIssue CitedMedium="Print"><Volume>96 Suppl 2</Volume><PubDate><Year>2002</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Annals of tropical medicine and parasitology</Title><ISOAbbreviation>Ann Trop Med Parasitol</ISOAbbreviation></Journal><ArticleTitle>Modelling the epidemiology, transmission and control of lymphatic filariasis.</ArticleTitle><Pagination><MedlinePgn>S153-64</MedlinePgn></Pagination><Abstract><AbstractText>Wuchereria bancrofti transmitted by Culex quinquefasciatus accounts for >90% of the global burden of lymphatic filariasis (LF). Recent advances in diagnostic and control tools and a better epidemiological understanding of the disease have led to hope that LF is eradicable. The World Health Organization has helped a number of member countries to launch nation-wide programmes of mass treatment with antifilarial drugs such as diethylcarbamazine, albendazole and ivermectin, for the elimination of this disease. In order to make rational decisions about control strategies, reliable predictions of the long-term impact of such treatment, and of alternative interventions, need to be made, and these can only be based on a sound, quantitative understanding of the population biology of the parasites. Mathematical models have proven valuable in gaining quantitative insights into the population dynamics of the parasites, and may be used to make credible predictions of the likely outcomes of various control strategies. 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