Modelling lymphatic filariasis transmission and control: modelling frameworks, lessons learned and future directions.
Identifieur interne : 001A91 ( Main/Exploration ); précédent : 001A90; suivant : 001A92Modelling lymphatic filariasis transmission and control: modelling frameworks, lessons learned and future directions.
Auteurs : Wilma A. Stolk [Pays-Bas] ; Chris Stone [Suisse] ; Sake J. De Vlas [Pays-Bas]Source :
- Advances in parasitology [ 2163-6079 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- tendances : Éradication de maladie.
- Filariose lymphatique, Humains, Modèles théoriques.
English descriptors
- KwdEn :
- MESH :
- prevention & control : Elephantiasis, Filarial.
- transmission : Elephantiasis, Filarial.
- trends : Disease Eradication.
- Humans, Models, Theoretical.
Abstract
Mathematical modelling provides a useful tool for policy making and planning in lymphatic filariasis control programmes, by providing trend forecasts based on sound scientific knowledge and principles. This is now especially true, in view of the ambitious target to eliminate lymphatic filariasis as a public health problem globally by the year 2020 and the short remaining timeline to achieve this. To meet this target, elimination programmes need to be accelerated, requiring further optimization of strategies and tailoring to local circumstances. Insights from epidemiological transmission models provide a useful basis. Two general models of lymphatic filariasis transmission and control are nowadays in use to support decision-making, namely a population-based deterministic model (EPIFIL) and an individual-based stochastic model (LYMFASIM). Model predictions confirm that lymphatic filariasis transmission can be interrupted by annual mass drug administration (MDA), but this may need to be continued much longer than the initially suggested 4-6 years in areas with high transmission intensity or poor treatment coverage. However, the models have not been validated against longitudinal data describing the impact of MDA programmes. Some critical issues remain to be incorporated in one or both of the models to make predictions on elimination more realistic, including the possible occurrence of systematic noncompliance, the risk of emerging parasite resistance to anthelmintic drugs, and spatial heterogeneities. Rapid advances are needed to maximize the utility of models in decision-making for the ongoing ambitious lymphatic filariasis elimination programmes.
DOI: 10.1016/bs.apar.2014.12.005
PubMed: 25765197
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000F94
- to stream PubMed, to step Curation: 000F94
- to stream PubMed, to step Checkpoint: 000F94
- to stream Ncbi, to step Merge: 007129
- to stream Ncbi, to step Curation: 007129
- to stream Ncbi, to step Checkpoint: 007129
- to stream Main, to step Merge: 001A94
- to stream Main, to step Curation: 001A91
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Modelling lymphatic filariasis transmission and control: modelling frameworks, lessons learned and future directions.</title><author><name sortKey="Stolk, Wilma A" sort="Stolk, Wilma A" uniqKey="Stolk W" first="Wilma A" last="Stolk">Wilma A. Stolk</name><affiliation wicri:level="1"><nlm:affiliation>Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Public Health, Erasmus MC, University Medical Center Rotterdam</wicri:regionArea><wicri:noRegion>University Medical Center Rotterdam</wicri:noRegion></affiliation></author><author><name sortKey="Stone, Chris" sort="Stone, Chris" uniqKey="Stone C" first="Chris" last="Stone">Chris Stone</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.</nlm:affiliation><country xml:lang="fr">Suisse</country><wicri:regionArea>Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel</wicri:regionArea><wicri:noRegion>Basel</wicri:noRegion></affiliation></author><author><name sortKey="De Vlas, Sake J" sort="De Vlas, Sake J" uniqKey="De Vlas S" first="Sake J" last="De Vlas">Sake J. De Vlas</name><affiliation wicri:level="1"><nlm:affiliation>Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Public Health, Erasmus MC, University Medical Center Rotterdam</wicri:regionArea><wicri:noRegion>University Medical Center Rotterdam</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25765197</idno><idno type="pmid">25765197</idno><idno type="doi">10.1016/bs.apar.2014.12.005</idno><idno type="wicri:Area/PubMed/Corpus">000F94</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000F94</idno><idno type="wicri:Area/PubMed/Curation">000F94</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000F94</idno><idno type="wicri:Area/PubMed/Checkpoint">000F94</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000F94</idno><idno type="wicri:Area/Ncbi/Merge">007129</idno><idno type="wicri:Area/Ncbi/Curation">007129</idno><idno type="wicri:Area/Ncbi/Checkpoint">007129</idno><idno type="wicri:Area/Main/Merge">001A94</idno><idno type="wicri:Area/Main/Curation">001A91</idno><idno type="wicri:Area/Main/Exploration">001A91</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Modelling lymphatic filariasis transmission and control: modelling frameworks, lessons learned and future directions.</title><author><name sortKey="Stolk, Wilma A" sort="Stolk, Wilma A" uniqKey="Stolk W" first="Wilma A" last="Stolk">Wilma A. Stolk</name><affiliation wicri:level="1"><nlm:affiliation>Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Public Health, Erasmus MC, University Medical Center Rotterdam</wicri:regionArea><wicri:noRegion>University Medical Center Rotterdam</wicri:noRegion></affiliation></author><author><name sortKey="Stone, Chris" sort="Stone, Chris" uniqKey="Stone C" first="Chris" last="Stone">Chris Stone</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.</nlm:affiliation><country xml:lang="fr">Suisse</country><wicri:regionArea>Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel</wicri:regionArea><wicri:noRegion>Basel</wicri:noRegion></affiliation></author><author><name sortKey="De Vlas, Sake J" sort="De Vlas, Sake J" uniqKey="De Vlas S" first="Sake J" last="De Vlas">Sake J. De Vlas</name><affiliation wicri:level="1"><nlm:affiliation>Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Public Health, Erasmus MC, University Medical Center Rotterdam</wicri:regionArea><wicri:noRegion>University Medical Center Rotterdam</wicri:noRegion></affiliation></author></analytic><series><title level="j">Advances in parasitology</title><idno type="eISSN">2163-6079</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Disease Eradication (trends)</term><term>Elephantiasis, Filarial (prevention & control)</term><term>Elephantiasis, Filarial (transmission)</term><term>Humans</term><term>Models, Theoretical</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Filariose lymphatique ()</term><term>Filariose lymphatique (transmission)</term><term>Humains</term><term>Modèles théoriques</term><term>Éradication de maladie (tendances)</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="tendances" xml:lang="fr"><term>Éradication de maladie</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Disease Eradication</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Models, Theoretical</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Filariose lymphatique</term><term>Humains</term><term>Modèles théoriques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Mathematical modelling provides a useful tool for policy making and planning in lymphatic filariasis control programmes, by providing trend forecasts based on sound scientific knowledge and principles. This is now especially true, in view of the ambitious target to eliminate lymphatic filariasis as a public health problem globally by the year 2020 and the short remaining timeline to achieve this. To meet this target, elimination programmes need to be accelerated, requiring further optimization of strategies and tailoring to local circumstances. Insights from epidemiological transmission models provide a useful basis. Two general models of lymphatic filariasis transmission and control are nowadays in use to support decision-making, namely a population-based deterministic model (EPIFIL) and an individual-based stochastic model (LYMFASIM). Model predictions confirm that lymphatic filariasis transmission can be interrupted by annual mass drug administration (MDA), but this may need to be continued much longer than the initially suggested 4-6 years in areas with high transmission intensity or poor treatment coverage. However, the models have not been validated against longitudinal data describing the impact of MDA programmes. Some critical issues remain to be incorporated in one or both of the models to make predictions on elimination more realistic, including the possible occurrence of systematic noncompliance, the risk of emerging parasite resistance to anthelmintic drugs, and spatial heterogeneities. Rapid advances are needed to maximize the utility of models in decision-making for the ongoing ambitious lymphatic filariasis elimination programmes.</div></front></TEI><affiliations><list><country><li>Pays-Bas</li><li>Suisse</li></country></list><tree><country name="Pays-Bas"><noRegion><name sortKey="Stolk, Wilma A" sort="Stolk, Wilma A" uniqKey="Stolk W" first="Wilma A" last="Stolk">Wilma A. Stolk</name></noRegion><name sortKey="De Vlas, Sake J" sort="De Vlas, Sake J" uniqKey="De Vlas S" first="Sake J" last="De Vlas">Sake J. De Vlas</name></country><country name="Suisse"><noRegion><name sortKey="Stone, Chris" sort="Stone, Chris" uniqKey="Stone C" first="Chris" last="Stone">Chris Stone</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/LymphedemaV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001A91 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001A91 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= LymphedemaV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:25765197
|texte= Modelling lymphatic filariasis transmission and control: modelling frameworks, lessons learned and future directions.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:25765197" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a LymphedemaV1
| This area was generated with Dilib version V0.6.31. |  |