Frequency distribution of Wuchereria bancrofti microfilariae in human populations and its relationships with age and sex.
Identifieur interne : 003E65 ( Ncbi/Checkpoint ); précédent : 003E64; suivant : 003E66Frequency distribution of Wuchereria bancrofti microfilariae in human populations and its relationships with age and sex.
Auteurs : P K Das [Inde] ; A. Manoharan ; A. Srividya ; B T Grenfell ; D A Bundy ; P. VanamailSource :
- Parasitology [ 0031-1820 ] ; 1990.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Animaux, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Facteurs sexuels, Femelle, Filariose lymphatique (parasitologie), Filariose lymphatique (épidémiologie), Humains, Inde (épidémiologie), Loi binomiale, Microfilaria (croissance et développement), Mâle, Nourrisson, Prévalence, Wuchereria bancrofti (croissance et développement).
- MESH :
- croissance et développement : Microfilaria, Wuchereria bancrofti.
- parasitologie : Filariose lymphatique.
- épidémiologie : Filariose lymphatique, Inde.
- Adolescent, Adulte, Adulte d'âge moyen, Animaux, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Facteurs sexuels, Femelle, Humains, Loi binomiale, Mâle, Nourrisson, Prévalence.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Factors, Animals, Binomial Distribution, Child, Child, Preschool, Elephantiasis, Filarial (epidemiology), Elephantiasis, Filarial (parasitology), Female, Humans, India (epidemiology), Infant, Male, Microfilariae (growth & development), Middle Aged, Prevalence, Sex Factors, Wuchereria bancrofti (growth & development).
- MESH :
- epidemiology : Elephantiasis, Filarial, India.
- growth & development : Microfilariae, Wuchereria bancrofti.
- parasitology : Elephantiasis, Filarial.
- Adolescent, Adult, Age Factors, Animals, Binomial Distribution, Child, Child, Preschool, Female, Humans, Infant, Male, Middle Aged, Prevalence, Sex Factors.
Abstract
This paper examines the effects of host age and sex on the frequency distribution of Wuchereria bancrofti infections in the human host. Microfilarial counts from a large data base on the epidemiology of bancroftian filariasis in Pondicherry, South India are analysed. Frequency distributions of microfilarial counts divided by age are successfully described by zero-truncated negative binomial distributions, fitted by maximum likelihood. Parameter estimates from the fits indicate a significant trend of decreasing overdispersion with age in the distributions above age 10; this pattern provides indirect evidence for the operation of density-dependent constraints on microfilarial intensity. The analysis also provides estimates of the proportion of mf-positive individuals who are identified as negative due to sampling errors (around 5% of the total negatives). This allows the construction of corrected mf age-prevalence curves, which indicate that the observed prevalence may underestimate the true figures by between 25% and 100%. The age distribution of mf-negative individuals in the population is discussed in terms of current hypotheses about the interaction between disease and infection.
PubMed: 2092298
Affiliations:
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Srividya</name></author><author><name sortKey="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</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><author><name sortKey="Vanamail, P" sort="Vanamail, P" uniqKey="Vanamail P" first="P" last="Vanamail">P. 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Manoharan</name></author><author><name sortKey="Srividya, A" sort="Srividya, A" uniqKey="Srividya A" first="A" last="Srividya">A. Srividya</name></author><author><name sortKey="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</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><author><name sortKey="Vanamail, P" sort="Vanamail, P" uniqKey="Vanamail P" first="P" last="Vanamail">P. Vanamail</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>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Animals</term><term>Binomial Distribution</term><term>Child</term><term>Child, Preschool</term><term>Elephantiasis, Filarial (epidemiology)</term><term>Elephantiasis, Filarial (parasitology)</term><term>Female</term><term>Humans</term><term>India (epidemiology)</term><term>Infant</term><term>Male</term><term>Microfilariae (growth & development)</term><term>Middle Aged</term><term>Prevalence</term><term>Sex Factors</term><term>Wuchereria bancrofti (growth & development)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Animaux</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de l'âge</term><term>Facteurs sexuels</term><term>Femelle</term><term>Filariose lymphatique (parasitologie)</term><term>Filariose lymphatique (épidémiologie)</term><term>Humains</term><term>Inde (épidémiologie)</term><term>Loi binomiale</term><term>Microfilaria (croissance et développement)</term><term>Mâle</term><term>Nourrisson</term><term>Prévalence</term><term>Wuchereria bancrofti (croissance et développement)</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>India</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="épidémiologie" xml:lang="fr"><term>Filariose lymphatique</term><term>Inde</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Animals</term><term>Binomial Distribution</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Infant</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Sex Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Animaux</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de l'âge</term><term>Facteurs sexuels</term><term>Femelle</term><term>Humains</term><term>Loi binomiale</term><term>Mâle</term><term>Nourrisson</term><term>Prévalence</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper examines the effects of host age and sex on the frequency distribution of Wuchereria bancrofti infections in the human host. Microfilarial counts from a large data base on the epidemiology of bancroftian filariasis in Pondicherry, South India are analysed. Frequency distributions of microfilarial counts divided by age are successfully described by zero-truncated negative binomial distributions, fitted by maximum likelihood. Parameter estimates from the fits indicate a significant trend of decreasing overdispersion with age in the distributions above age 10; this pattern provides indirect evidence for the operation of density-dependent constraints on microfilarial intensity. The analysis also provides estimates of the proportion of mf-positive individuals who are identified as negative due to sampling errors (around 5% of the total negatives). This allows the construction of corrected mf age-prevalence curves, which indicate that the observed prevalence may underestimate the true figures by between 25% and 100%. The age distribution of mf-negative individuals in the population is discussed in terms of current hypotheses about the interaction between disease and infection.</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="Grenfell, B T" sort="Grenfell, B T" uniqKey="Grenfell B" first="B T" last="Grenfell">B T Grenfell</name><name sortKey="Manoharan, A" sort="Manoharan, A" uniqKey="Manoharan A" first="A" last="Manoharan">A. Manoharan</name><name sortKey="Srividya, A" sort="Srividya, A" uniqKey="Srividya A" first="A" last="Srividya">A. Srividya</name><name sortKey="Vanamail, P" sort="Vanamail, P" uniqKey="Vanamail P" first="P" last="Vanamail">P. Vanamail</name></noCountry><country name="Inde"><noRegion><name sortKey="Das, P K" sort="Das, P K" uniqKey="Das P" first="P K" last="Das">P K Das</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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