Epidemiological modelling for monitoring and evaluation of lymphatic filariasis control.
Identifieur interne : 007277 ( Main/Exploration ); précédent : 007276; suivant : 007278Epidemiological modelling for monitoring and evaluation of lymphatic filariasis control.
Auteurs : Edwin Michael [Royaume-Uni] ; Mwele N. Malecela-Lazaro ; James W. KazuraSource :
- Advances in parasitology [ 0065-308X ] ; 2007.
Descripteurs français
- KwdFr :
- MESH :
- pathogénicité : Wuchereria bancrofti.
- usage thérapeutique : Filaricides.
- épidémiologie : Filariose lymphatique.
- Animaux, Filariose lymphatique, Humains, Mathématiques, Méthodes épidémiologiques, Surveillance de l'environnement, Épidémiosurveillance.
English descriptors
- KwdEn :
- MESH :
- chemical , therapeutic use : Filaricides.
- epidemiology : Elephantiasis, Filarial.
- pathogenicity : Wuchereria bancrofti.
- prevention & control : Elephantiasis, Filarial.
- statistics & numerical data : Environmental Monitoring.
- Animals, Epidemiologic Methods, Epidemiological Monitoring, Humans, Mathematics.
Abstract
Monitoring and evaluation are critically important to the scientific management of any parasite control programme. If a management action is prescribed, monitoring plays a pivotal role in assessing the effectiveness of implemented actions, identifying necessary adaptations for management and determining when management objectives are achieved. Here, we focus on the control of the vector-borne parasitic disease, lymphatic filariasis, to show how mathematical models of parasite transmission can provide a scientific framework for supporting the optimal design of parasite control monitoring programmes by their ability to (1) enable the estimation of endpoint targets, (2) provide information on expected trends in infection due to interventions to allow rational evaluation of intervention effectiveness and calculation of the frequency of monitoring, (3) support the selection of indicators that permit reliable and statistically powerful measurement of the effects of interventions while minimizing costs and sampling intensity and (4) aid the interpretation of monitoring data for improving programme management and knowledge of the population dynamics of parasite control. The results also highlight how the use of a model-based monitoring framework will be vitally enhanced by adopting an adaptive management approach that acknowledges uncertainty and facilitates the use of monitoring data to learn about effective control, and which allows future decisions to be modified as we learn by doing. We conclude by emphasizing a pressing need to incorporate mathematical models coupled with changes to existing management systems in ongoing efforts to design and implement rational monitoring plans for evaluating filariasis and other parasitic disease control programmes.
DOI: 10.1016/S0065-308X(07)65003-9
PubMed: 18063097
Affiliations:
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Malecela-Lazaro</name></author><author><name sortKey="Kazura, James W" sort="Kazura, James W" uniqKey="Kazura J" first="James W" last="Kazura">James W. Kazura</name></author></analytic><series><title level="j">Advances in parasitology</title><idno type="ISSN">0065-308X</idno><imprint><date when="2007" type="published">2007</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Elephantiasis, Filarial (epidemiology)</term><term>Elephantiasis, Filarial (prevention & control)</term><term>Environmental Monitoring (statistics & numerical data)</term><term>Epidemiologic Methods</term><term>Epidemiological Monitoring</term><term>Filaricides (therapeutic use)</term><term>Humans</term><term>Mathematics</term><term>Wuchereria bancrofti (pathogenicity)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term><term>Filaricides (usage thérapeutique)</term><term>Filariose lymphatique ()</term><term>Filariose lymphatique (épidémiologie)</term><term>Humains</term><term>Mathématiques</term><term>Méthodes épidémiologiques</term><term>Surveillance de l'environnement ()</term><term>Wuchereria bancrofti (pathogénicité)</term><term>Épidémiosurveillance</term></keywords><keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en"><term>Filaricides</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Wuchereria bancrofti</term></keywords><keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Wuchereria bancrofti</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Elephantiasis, Filarial</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" qualifier="usage thérapeutique" xml:lang="fr"><term>Filaricides</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Filariose lymphatique</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Epidemiologic Methods</term><term>Epidemiological Monitoring</term><term>Humans</term><term>Mathematics</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Animaux</term><term>Filariose lymphatique</term><term>Humains</term><term>Mathématiques</term><term>Méthodes épidémiologiques</term><term>Surveillance de l'environnement</term><term>Épidémiosurveillance</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Monitoring and evaluation are critically important to the scientific management of any parasite control programme. If a management action is prescribed, monitoring plays a pivotal role in assessing the effectiveness of implemented actions, identifying necessary adaptations for management and determining when management objectives are achieved. Here, we focus on the control of the vector-borne parasitic disease, lymphatic filariasis, to show how mathematical models of parasite transmission can provide a scientific framework for supporting the optimal design of parasite control monitoring programmes by their ability to (1) enable the estimation of endpoint targets, (2) provide information on expected trends in infection due to interventions to allow rational evaluation of intervention effectiveness and calculation of the frequency of monitoring, (3) support the selection of indicators that permit reliable and statistically powerful measurement of the effects of interventions while minimizing costs and sampling intensity and (4) aid the interpretation of monitoring data for improving programme management and knowledge of the population dynamics of parasite control. The results also highlight how the use of a model-based monitoring framework will be vitally enhanced by adopting an adaptive management approach that acknowledges uncertainty and facilitates the use of monitoring data to learn about effective control, and which allows future decisions to be modified as we learn by doing. We conclude by emphasizing a pressing need to incorporate mathematical models coupled with changes to existing management systems in ongoing efforts to design and implement rational monitoring plans for evaluating filariasis and other parasitic disease control programmes.</div></front></TEI><affiliations><list><country><li>Royaume-Uni</li></country></list><tree><noCountry><name sortKey="Kazura, James W" sort="Kazura, James W" uniqKey="Kazura J" first="James W" last="Kazura">James W. Kazura</name><name sortKey="Malecela Lazaro, Mwele N" sort="Malecela Lazaro, Mwele N" uniqKey="Malecela Lazaro M" first="Mwele N" last="Malecela-Lazaro">Mwele N. Malecela-Lazaro</name></noCountry><country name="Royaume-Uni"><noRegion><name sortKey="Michael, Edwin" sort="Michael, Edwin" uniqKey="Michael E" first="Edwin" last="Michael">Edwin Michael</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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