Frequency distribution of lymphatic filariasis microfilariae in human populations: population processes and statistical estimation.
Identifieur interne : 00DA15 ( Main/Exploration ); précédent : 00DA14; suivant : 00DA16Frequency distribution of lymphatic filariasis microfilariae in human populations: population processes and statistical estimation.
Auteurs : B T Grenfell [Inde] ; P K Das ; P K Rajagopalan ; D A BundySource :
- Parasitology [ 0031-1820 ] ; 1990.
Descripteurs français
- KwdFr :
- Animaux, Fidji (épidémiologie), Filariose lymphatique (parasitologie), Filariose lymphatique (sang), Filariose lymphatique (épidémiologie), Humains, Inde (épidémiologie), Japon (épidémiologie), Loi de Poisson, Microfilaria (croissance et développement), Modèles statistiques, Prévalence, Wuchereria bancrofti (croissance et développement).
- MESH :
- croissance et développement : Microfilaria, Wuchereria bancrofti.
- parasitologie : Filariose lymphatique.
- sang : Filariose lymphatique.
- épidémiologie : Fidji, Filariose lymphatique, Inde, Japon.
- Animaux, Humains, Loi de Poisson, Modèles statistiques, Prévalence.
English descriptors
- KwdEn :
- Animals, Elephantiasis, Filarial (blood), Elephantiasis, Filarial (epidemiology), Elephantiasis, Filarial (parasitology), Fiji (epidemiology), Humans, India (epidemiology), Japan (epidemiology), Microfilariae (growth & development), Models, Statistical, Poisson Distribution, Prevalence, Wuchereria bancrofti (growth & development).
- MESH :
- blood : Elephantiasis, Filarial.
- epidemiology : Elephantiasis, Filarial, Fiji, India, Japan.
- growth & development : Microfilariae, Wuchereria bancrofti.
- parasitology : Elephantiasis, Filarial.
- Animals, Humans, Models, Statistical, Poisson Distribution, Prevalence.
Abstract
This paper uses simple mathematical models and statistical estimation techniques to analyse the frequency distribution of microfilariae (mf) in blood samples from human populations which are endemic for lymphatic filariasis. The theoretical analysis examines the relationship between microfilarial burdens and the prevalence of adult (macrofilarial) worms in the human host population. The main finding is that a large proportion of observed mf-negatives may be 'true' zeros, arising from the absence of macrofilarial infections or unmated adult worms, rather than being attributable to the blood sampling process. The corresponding mf distribution should then follow a Poisson mixture, arising from the sampling of mf positives, with an additional proportion of 'true' mf-zeros. This hypothesis is supported by analysis of observed Wuchereria bancrofti mf distributions from Southern India, Japan and Fiji, in which zero-truncated Poisson mixtures fit mf-positive counts more effectively than distributions including the observed zeros. The fits of two Poisson mixtures, the negative binomial and the Sichel distribution, are compared. The Sichel provides a slightly better empirical description of the mf density distribution; reasons for this improvement, and a discussion of the relative merits of the two distributions, are presented. The impact on observed mf distributions of increasing blood sampling volume and extraction efficiency are illustrated via a simple model, and directions for future work are identified.
PubMed: 2092297
Affiliations:
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type="wicri:Area/Main/Curation">00DA15</idno><idno type="wicri:Area/Main/Exploration">00DA15</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Frequency distribution of lymphatic filariasis microfilariae in human populations: population processes and statistical estimation.</title><author><name sortKey="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</name><affiliation wicri:level="1"><nlm:affiliation>Vector Control Research Centre, Medical Complex, Indira Nagar, Pondicherry, India.</nlm:affiliation><country xml:lang="fr">Inde</country><wicri:regionArea>Vector Control Research Centre, Medical Complex, Indira Nagar, Pondicherry</wicri:regionArea><wicri:noRegion>Pondicherry</wicri:noRegion></affiliation></author><author><name sortKey="Das, P K" sort="Das, P K" uniqKey="Das P" first="P K" last="Das">P K Das</name></author><author><name sortKey="Rajagopalan, P K" sort="Rajagopalan, P K" uniqKey="Rajagopalan P" first="P K" last="Rajagopalan">P K Rajagopalan</name></author><author><name sortKey="Bundy, D A" sort="Bundy, D A" uniqKey="Bundy D" first="D A" last="Bundy">D A Bundy</name></author></analytic><series><title level="j">Parasitology</title><idno type="ISSN">0031-1820</idno><imprint><date when="1990" type="published">1990</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Elephantiasis, Filarial (blood)</term><term>Elephantiasis, Filarial (epidemiology)</term><term>Elephantiasis, Filarial (parasitology)</term><term>Fiji (epidemiology)</term><term>Humans</term><term>India (epidemiology)</term><term>Japan (epidemiology)</term><term>Microfilariae (growth & development)</term><term>Models, Statistical</term><term>Poisson Distribution</term><term>Prevalence</term><term>Wuchereria bancrofti (growth & development)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term><term>Fidji (épidémiologie)</term><term>Filariose lymphatique (parasitologie)</term><term>Filariose lymphatique (sang)</term><term>Filariose lymphatique (épidémiologie)</term><term>Humains</term><term>Inde (épidémiologie)</term><term>Japon (épidémiologie)</term><term>Loi de Poisson</term><term>Microfilaria (croissance et développement)</term><term>Modèles statistiques</term><term>Prévalence</term><term>Wuchereria bancrofti (croissance et développement)</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="croissance et développement" xml:lang="fr"><term>Microfilaria</term><term>Wuchereria bancrofti</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term><term>Fiji</term><term>India</term><term>Japan</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Microfilariae</term><term>Wuchereria bancrofti</term></keywords><keywords scheme="MESH" qualifier="parasitologie" xml:lang="fr"><term>Filariose lymphatique</term></keywords><keywords scheme="MESH" qualifier="parasitology" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Filariose lymphatique</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Fidji</term><term>Filariose lymphatique</term><term>Inde</term><term>Japon</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Humans</term><term>Models, Statistical</term><term>Poisson Distribution</term><term>Prevalence</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Animaux</term><term>Humains</term><term>Loi de Poisson</term><term>Modèles statistiques</term><term>Prévalence</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper uses simple mathematical models and statistical estimation techniques to analyse the frequency distribution of microfilariae (mf) in blood samples from human populations which are endemic for lymphatic filariasis. The theoretical analysis examines the relationship between microfilarial burdens and the prevalence of adult (macrofilarial) worms in the human host population. The main finding is that a large proportion of observed mf-negatives may be 'true' zeros, arising from the absence of macrofilarial infections or unmated adult worms, rather than being attributable to the blood sampling process. The corresponding mf distribution should then follow a Poisson mixture, arising from the sampling of mf positives, with an additional proportion of 'true' mf-zeros. This hypothesis is supported by analysis of observed Wuchereria bancrofti mf distributions from Southern India, Japan and Fiji, in which zero-truncated Poisson mixtures fit mf-positive counts more effectively than distributions including the observed zeros. The fits of two Poisson mixtures, the negative binomial and the Sichel distribution, are compared. The Sichel provides a slightly better empirical description of the mf density distribution; reasons for this improvement, and a discussion of the relative merits of the two distributions, are presented. The impact on observed mf distributions of increasing blood sampling volume and extraction efficiency are illustrated via a simple model, and directions for future work are identified.</div></front></TEI><affiliations><list><country><li>Inde</li></country></list><tree><noCountry><name sortKey="Bundy, D A" sort="Bundy, D A" uniqKey="Bundy D" first="D A" last="Bundy">D A Bundy</name><name sortKey="Das, P K" sort="Das, P K" uniqKey="Das P" first="P K" last="Das">P K Das</name><name sortKey="Rajagopalan, P K" sort="Rajagopalan, P K" uniqKey="Rajagopalan P" first="P K" last="Rajagopalan">P K Rajagopalan</name></noCountry><country name="Inde"><noRegion><name sortKey="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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