Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors.
Identifieur interne : 000365 ( PubMed/Checkpoint ); précédent : 000364; suivant : 000366Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors.
Auteurs : Michael Coleman [Royaume-Uni] ; Brian Sharp ; Ishen Seocharan ; Janet HemingwaySource :
- Journal of medical entomology [ 0022-2585 ] ; 2006.
English descriptors
- KwdEn :
- Africa, Animals, Decision Support Systems, Management (organization & administration), Evidence-Based Medicine (methods), Geographic Information Systems, Geography, Humans, Insect Vectors (physiology), Insecticide Resistance, Insecticides, Malaria (prevention & control), Malaria (transmission), Mosquito Control (economics), Mosquito Control (methods), Mosquito Control (organization & administration).
- MESH :
- chemical : Insecticides.
- geographic : Africa.
- economics : Mosquito Control.
- methods : Evidence-Based Medicine, Mosquito Control.
- organization & administration : Decision Support Systems, Management, Mosquito Control.
- physiology : Insect Vectors.
- prevention & control : Malaria.
- transmission : Malaria.
- Animals, Geographic Information Systems, Geography, Humans, Insecticide Resistance.
Abstract
The emergence of Anopheles species resistant to insecticides widely used in vector control has the potential to impact directly on the control of malaria. This may have a particularly dramatic effect in Africa, where pyrethroids impregnated onto bed-nets are the dominant insecticides used for vector control. Because the same insecticides are used for crop pests, the extensive use and misuse of insecticides for agriculture has contributed to the resistance problem in some vectors. The potential for resistance to develop in African vectors has been apparent since the 1950s, but the scale of the problem has been poorly documented. A geographical information system-based decision support system for malaria control has recently been established in Africa and used operationally in Mozambique. The system incorporates climate data and disease transmission rates, but to date it has not incorporated spatial or temporal data on vector abundance or insecticide resistance. As a first step in incorporating this information, available published data on insecticide resistance in Africa has now been collated and incorporated into this decision support system. Data also are incorporated onto the openly available Mapping Malaria Risk in Africa (MARA) Web site (http://www.mara.org.za). New data, from a range of vector population-monitoring initiatives, can now be incorporated into this open access database to allow a spatial understanding of resistance distribution and its potential impact on disease transmission to benefit vector control programs.
PubMed: 16892622
Affiliations:
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sortKey="Hemingway, Janet" sort="Hemingway, Janet" uniqKey="Hemingway J" first="Janet" last="Hemingway">Janet Hemingway</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2006">2006</date><idno type="RBID">pubmed:16892622</idno><idno type="pmid">16892622</idno><idno type="wicri:Area/PubMed/Corpus">000383</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000383</idno><idno type="wicri:Area/PubMed/Curation">000383</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000383</idno><idno type="wicri:Area/PubMed/Checkpoint">000383</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000383</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors.</title><author><name sortKey="Coleman, Michael" sort="Coleman, Michael" uniqKey="Coleman M" first="Michael" last="Coleman">Michael Coleman</name><affiliation wicri:level="1"><nlm:affiliation>Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA</wicri:regionArea><wicri:noRegion>L3 5QA</wicri:noRegion></affiliation></author><author><name sortKey="Sharp, Brian" sort="Sharp, Brian" uniqKey="Sharp B" first="Brian" last="Sharp">Brian Sharp</name></author><author><name sortKey="Seocharan, Ishen" sort="Seocharan, Ishen" uniqKey="Seocharan I" first="Ishen" last="Seocharan">Ishen Seocharan</name></author><author><name sortKey="Hemingway, Janet" sort="Hemingway, Janet" uniqKey="Hemingway J" first="Janet" last="Hemingway">Janet Hemingway</name></author></analytic><series><title level="j">Journal of medical entomology</title><idno 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qualifier="economics" xml:lang="en"><term>Mosquito Control</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Evidence-Based Medicine</term><term>Mosquito Control</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Decision Support Systems, Management</term><term>Mosquito Control</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Insect Vectors</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Malaria</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Malaria</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Geographic Information Systems</term><term>Geography</term><term>Humans</term><term>Insecticide Resistance</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The emergence of Anopheles species resistant to insecticides widely used in vector control has the potential to impact directly on the control of malaria. This may have a particularly dramatic effect in Africa, where pyrethroids impregnated onto bed-nets are the dominant insecticides used for vector control. Because the same insecticides are used for crop pests, the extensive use and misuse of insecticides for agriculture has contributed to the resistance problem in some vectors. The potential for resistance to develop in African vectors has been apparent since the 1950s, but the scale of the problem has been poorly documented. A geographical information system-based decision support system for malaria control has recently been established in Africa and used operationally in Mozambique. The system incorporates climate data and disease transmission rates, but to date it has not incorporated spatial or temporal data on vector abundance or insecticide resistance. As a first step in incorporating this information, available published data on insecticide resistance in Africa has now been collated and incorporated into this decision support system. Data also are incorporated onto the openly available Mapping Malaria Risk in Africa (MARA) Web site (http://www.mara.org.za). New data, from a range of vector population-monitoring initiatives, can now be incorporated into this open access database to allow a spatial understanding of resistance distribution and its potential impact on disease transmission to benefit vector control programs.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16892622</PMID><DateCreated><Year>2006</Year><Month>08</Month><Day>08</Day></DateCreated><DateCompleted><Year>2006</Year><Month>09</Month><Day>07</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0022-2585</ISSN><JournalIssue CitedMedium="Print"><Volume>43</Volume><Issue>4</Issue><PubDate><Year>2006</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Journal of medical entomology</Title><ISOAbbreviation>J. Med. Entomol.</ISOAbbreviation></Journal><ArticleTitle>Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors.</ArticleTitle><Pagination><MedlinePgn>663-8</MedlinePgn></Pagination><Abstract><AbstractText>The emergence of Anopheles species resistant to insecticides widely used in vector control has the potential to impact directly on the control of malaria. This may have a particularly dramatic effect in Africa, where pyrethroids impregnated onto bed-nets are the dominant insecticides used for vector control. Because the same insecticides are used for crop pests, the extensive use and misuse of insecticides for agriculture has contributed to the resistance problem in some vectors. The potential for resistance to develop in African vectors has been apparent since the 1950s, but the scale of the problem has been poorly documented. A geographical information system-based decision support system for malaria control has recently been established in Africa and used operationally in Mozambique. The system incorporates climate data and disease transmission rates, but to date it has not incorporated spatial or temporal data on vector abundance or insecticide resistance. As a first step in incorporating this information, available published data on insecticide resistance in Africa has now been collated and incorporated into this decision support system. Data also are incorporated onto the openly available Mapping Malaria Risk in Africa (MARA) Web site (http://www.mara.org.za). 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