Epifil: a dynamic model of infection and disease in lymphatic filariasis.
Identifieur interne : 004841 ( PubMed/Checkpoint ); précédent : 004840; suivant : 004842Epifil: a dynamic model of infection and disease in lymphatic filariasis.
Auteurs : M S Chan [Royaume-Uni] ; A. Srividya ; R A Norman ; S P Pani ; K D Ramaiah ; P. Vanamail ; E. Michael ; P K Das ; D A BundySource :
- The American journal of tropical medicine and hygiene [ 0002-9637 ] ; 1998.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Filariose lymphatique (), Filariose lymphatique (parasitologie), Filariose lymphatique (épidémiologie), Fonctions de vraisemblance, Humains, Hydrocèle (étiologie), Lymphoedème (étiologie), Modèles biologiques, Mâle, Nourrisson, Nouveau-né, Sujet âgé.
- MESH :
- parasitologie : Filariose lymphatique.
- épidémiologie : Filariose lymphatique.
- étiologie : Hydrocèle, Lymphoedème.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Filariose lymphatique, Fonctions de vraisemblance, Humains, Modèles biologiques, Mâle, Nourrisson, Nouveau-né, Sujet âgé.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Factors, Aged, Child, Child, Preschool, Elephantiasis, Filarial (complications), Elephantiasis, Filarial (epidemiology), Elephantiasis, Filarial (parasitology), Humans, Infant, Infant, Newborn, Likelihood Functions, Lymphedema (etiology), Male, Middle Aged, Models, Biological, Testicular Hydrocele (etiology).
- MESH :
- complications : Elephantiasis, Filarial.
- epidemiology : Elephantiasis, Filarial.
- etiology : Lymphedema, Testicular Hydrocele.
- parasitology : Elephantiasis, Filarial.
- Adolescent, Adult, Age Factors, Aged, Child, Child, Preschool, Humans, Infant, Infant, Newborn, Likelihood Functions, Male, Middle Aged, Models, Biological.
Abstract
The lack of a quantitative framework that describes the dynamic relationships between infection and morbidity has constrained efforts aimed at the community-level control of lymphatic filariasis. In this paper, we describe the development and validation of EPIFIL, a dynamic model of filariasis infection intensity and chronic disease. Infection dynamics are modeled using the well established immigration-death formulation, incorporating the acquisition of immunity to infective larvae over time. The dynamics of disease (lymphodema and hydrocele) are modeled as a catalytic function of a variety of factors, including worm load and the impact of immunopathological responses. The model was parameterized using age-stratified data collected from a Bancroftian filariasis endemic area in Pondicherry in southern India. The fitted parameters suggest that a relatively simple model including only acquired immunity to infection and irreversible progression to disease can satisfactorily explain the observed infection and disease patterns. Disease progression is assumed to be a consequence of worm induced damage and to occur at a high rate for hydrocele and a low rate for lymphodema. This suggests that immunopathology involvement may not be a necessary component of observed age-disease profiles. These findings support a central role for worm burden in the initiation and progression of chronic filarial disease.
PubMed: 9790439
Affiliations:
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Srividya</name></author><author><name sortKey="Norman, R A" sort="Norman, R A" uniqKey="Norman R" first="R A" last="Norman">R A Norman</name></author><author><name sortKey="Pani, S P" sort="Pani, S P" uniqKey="Pani S" first="S P" last="Pani">S P Pani</name></author><author><name sortKey="Ramaiah, K D" sort="Ramaiah, K D" uniqKey="Ramaiah K" first="K D" last="Ramaiah">K D Ramaiah</name></author><author><name sortKey="Vanamail, P" sort="Vanamail, P" uniqKey="Vanamail P" first="P" last="Vanamail">P. Vanamail</name></author><author><name sortKey="Michael, E" sort="Michael, E" uniqKey="Michael E" first="E" last="Michael">E. Michael</name></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="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">The American journal of tropical medicine and hygiene</title><idno type="ISSN">0002-9637</idno><imprint><date when="1998" type="published">1998</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>Aged</term><term>Child</term><term>Child, Preschool</term><term>Elephantiasis, Filarial (complications)</term><term>Elephantiasis, Filarial (epidemiology)</term><term>Elephantiasis, Filarial (parasitology)</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Likelihood Functions</term><term>Lymphedema (etiology)</term><term>Male</term><term>Middle Aged</term><term>Models, Biological</term><term>Testicular Hydrocele (etiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de l'âge</term><term>Filariose lymphatique ()</term><term>Filariose lymphatique (parasitologie)</term><term>Filariose lymphatique (épidémiologie)</term><term>Fonctions de vraisemblance</term><term>Humains</term><term>Hydrocèle (étiologie)</term><term>Lymphoedème (étiologie)</term><term>Modèles biologiques</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Sujet âgé</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Lymphedema</term><term>Testicular Hydrocele</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></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Hydrocèle</term><term>Lymphoedème</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Child</term><term>Child, Preschool</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Likelihood Functions</term><term>Male</term><term>Middle Aged</term><term>Models, Biological</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de l'âge</term><term>Filariose lymphatique</term><term>Fonctions de vraisemblance</term><term>Humains</term><term>Modèles biologiques</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Sujet âgé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The lack of a quantitative framework that describes the dynamic relationships between infection and morbidity has constrained efforts aimed at the community-level control of lymphatic filariasis. In this paper, we describe the development and validation of EPIFIL, a dynamic model of filariasis infection intensity and chronic disease. Infection dynamics are modeled using the well established immigration-death formulation, incorporating the acquisition of immunity to infective larvae over time. The dynamics of disease (lymphodema and hydrocele) are modeled as a catalytic function of a variety of factors, including worm load and the impact of immunopathological responses. The model was parameterized using age-stratified data collected from a Bancroftian filariasis endemic area in Pondicherry in southern India. The fitted parameters suggest that a relatively simple model including only acquired immunity to infection and irreversible progression to disease can satisfactorily explain the observed infection and disease patterns. Disease progression is assumed to be a consequence of worm induced damage and to occur at a high rate for hydrocele and a low rate for lymphodema. This suggests that immunopathology involvement may not be a necessary component of observed age-disease profiles. These findings support a central role for worm burden in the initiation and progression of chronic filarial disease.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">9790439</PMID><DateCreated><Year>1998</Year><Month>11</Month><Day>05</Day></DateCreated><DateCompleted><Year>1998</Year><Month>11</Month><Day>05</Day></DateCompleted><DateRevised><Year>2010</Year><Month>08</Month><Day>25</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0002-9637</ISSN><JournalIssue CitedMedium="Print"><Volume>59</Volume><Issue>4</Issue><PubDate><Year>1998</Year><Month>Oct</Month></PubDate></JournalIssue><Title>The American journal of tropical medicine and hygiene</Title><ISOAbbreviation>Am. J. Trop. Med. Hyg.</ISOAbbreviation></Journal><ArticleTitle>Epifil: a dynamic model of infection and disease in lymphatic filariasis.</ArticleTitle><Pagination><MedlinePgn>606-14</MedlinePgn></Pagination><Abstract><AbstractText>The lack of a quantitative framework that describes the dynamic relationships between infection and morbidity has constrained efforts aimed at the community-level control of lymphatic filariasis. In this paper, we describe the development and validation of EPIFIL, a dynamic model of filariasis infection intensity and chronic disease. Infection dynamics are modeled using the well established immigration-death formulation, incorporating the acquisition of immunity to infective larvae over time. The dynamics of disease (lymphodema and hydrocele) are modeled as a catalytic function of a variety of factors, including worm load and the impact of immunopathological responses. The model was parameterized using age-stratified data collected from a Bancroftian filariasis endemic area in Pondicherry in southern India. The fitted parameters suggest that a relatively simple model including only acquired immunity to infection and irreversible progression to disease can satisfactorily explain the observed infection and disease patterns. Disease progression is assumed to be a consequence of worm induced damage and to occur at a high rate for hydrocele and a low rate for lymphodema. This suggests that immunopathology involvement may not be a necessary component of observed age-disease profiles. These findings support a central role for worm burden in the initiation and progression of chronic filarial disease.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chan</LastName><ForeName>M S</ForeName><Initials>MS</Initials><AffiliationInfo><Affiliation>The Wellcome Trust Centre for the Epidemiology of Infectious Disease, Department of Zoology, University of Oxford, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Srividya</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Norman</LastName><ForeName>R A</ForeName><Initials>RA</Initials></Author><Author ValidYN="Y"><LastName>Pani</LastName><ForeName>S P</ForeName><Initials>SP</Initials></Author><Author ValidYN="Y"><LastName>Ramaiah</LastName><ForeName>K D</ForeName><Initials>KD</Initials></Author><Author ValidYN="Y"><LastName>Vanamail</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Michael</LastName><ForeName>E</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>Das</LastName><ForeName>P K</ForeName><Initials>PK</Initials></Author><Author ValidYN="Y"><LastName>Bundy</LastName><ForeName>D A</ForeName><Initials>DA</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Am J Trop Med Hyg</MedlineTA><NlmUniqueID>0370507</NlmUniqueID><ISSNLinking>0002-9637</ISSNLinking></MedlineJournalInfo><CitationSubset>AIM</CitationSubset><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004605" MajorTopicYN="N">Elephantiasis, Filarial</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000469" MajorTopicYN="N">parasitology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016013" MajorTopicYN="N">Likelihood Functions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008209" MajorTopicYN="N">Lymphedema</DescriptorName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="N">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006848" MajorTopicYN="N">Testicular Hydrocele</DescriptorName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1998</Year><Month>10</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1998</Year><Month>10</Month><Day>28</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1998</Year><Month>10</Month><Day>28</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">9790439</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Royaume-Uni</li></country><region><li>Angleterre</li><li>Oxfordshire</li></region><settlement><li>Oxford</li></settlement><orgName><li>Université d'Oxford</li></orgName></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="Michael, E" sort="Michael, E" uniqKey="Michael E" first="E" last="Michael">E. Michael</name><name sortKey="Norman, R A" sort="Norman, R A" uniqKey="Norman R" first="R A" last="Norman">R A Norman</name><name sortKey="Pani, S P" sort="Pani, S P" uniqKey="Pani S" first="S P" last="Pani">S P Pani</name><name sortKey="Ramaiah, K D" sort="Ramaiah, K D" uniqKey="Ramaiah K" first="K D" last="Ramaiah">K D Ramaiah</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="Royaume-Uni"><region name="Angleterre"><name sortKey="Chan, M S" sort="Chan, M S" uniqKey="Chan M" first="M S" last="Chan">M S Chan</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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