Balancing detection and eradication for control of epidemics: sudden oak death in mixed-species stands.
Identifieur interne : 001975 ( Main/Exploration ); précédent : 001974; suivant : 001976Balancing detection and eradication for control of epidemics: sudden oak death in mixed-species stands.
Auteurs : Martial L. Ndeffo Mbah [Royaume-Uni] ; Christopher A. GilliganSource :
- PloS one [ 1932-6203 ] ; 2010.
Descripteurs français
- KwdFr :
- MESH :
- parasitologie : Arbres, Laurus, Maladies des plantes, Quercus.
- physiologie : Phytophthora.
- prévention et contrôle : Maladies des plantes.
- économie : Maladies des plantes.
- Animaux, Écosystème.
English descriptors
- KwdEn :
- MESH :
- economics : Plant Diseases.
- parasitology : Laurus, Plant Diseases, Quercus, Trees.
- physiology : Phytophthora.
- prevention & control : Plant Diseases.
- Animals, Ecosystem.
Abstract
Culling of infected individuals is a widely used measure for the control of several plant and animal pathogens but culling first requires detection of often cryptically-infected hosts. In this paper, we address the problem of how to allocate resources between detection and culling when the budget for disease management is limited. The results are generic but we motivate the problem for the control of a botanical epidemic in a natural ecosystem: sudden oak death in mixed evergreen forests in coastal California, in which species composition is generally dominated by a spreader species (bay laurel) and a second host species (coast live oak) that is an epidemiological dead-end in that it does not transmit infection but which is frequently a target for preservation. Using a combination of an epidemiological model for two host species with a common pathogen together with optimal control theory we address the problem of how to balance the allocation of resources for detection and epidemic control in order to preserve both host species in the ecosystem. Contrary to simple expectations our results show that an intermediate level of detection is optimal. Low levels of detection, characteristic of low effort expended on searching and detection of diseased trees, and high detection levels, exemplified by the deployment of large amounts of resources to identify diseased trees, fail to bring the epidemic under control. Importantly, we show that a slight change in the balance between the resources allocated to detection and those allocated to control may lead to drastic inefficiencies in control strategies. The results hold when quarantine is introduced to reduce the ingress of infected material into the region of interest.
DOI: 10.1371/journal.pone.0012317
PubMed: 20856850
PubMed Central: PMC2939030
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Ndeffo Mbah</name><affiliation wicri:level="4"><nlm:affiliation>Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom. mln25@cam.ac.uk</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Plant Sciences, University of Cambridge, Cambridge</wicri:regionArea><orgName type="university">Université de Cambridge</orgName><placeName><settlement type="city">Cambridge</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Angleterre de l'Est</region></placeName></affiliation></author><author><name sortKey="Gilligan, Christopher A" sort="Gilligan, Christopher A" uniqKey="Gilligan C" first="Christopher A" last="Gilligan">Christopher A. 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In this paper, we address the problem of how to allocate resources between detection and culling when the budget for disease management is limited. The results are generic but we motivate the problem for the control of a botanical epidemic in a natural ecosystem: sudden oak death in mixed evergreen forests in coastal California, in which species composition is generally dominated by a spreader species (bay laurel) and a second host species (coast live oak) that is an epidemiological dead-end in that it does not transmit infection but which is frequently a target for preservation. Using a combination of an epidemiological model for two host species with a common pathogen together with optimal control theory we address the problem of how to balance the allocation of resources for detection and epidemic control in order to preserve both host species in the ecosystem. Contrary to simple expectations our results show that an intermediate level of detection is optimal. Low levels of detection, characteristic of low effort expended on searching and detection of diseased trees, and high detection levels, exemplified by the deployment of large amounts of resources to identify diseased trees, fail to bring the epidemic under control. Importantly, we show that a slight change in the balance between the resources allocated to detection and those allocated to control may lead to drastic inefficiencies in control strategies. The results hold when quarantine is introduced to reduce the ingress of infected material into the region of interest.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20856850</PMID><DateCompleted><Year>2011</Year><Month>02</Month><Day>18</Day></DateCompleted><DateRevised><Year>2019</Year><Month>10</Month><Day>08</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>5</Volume><Issue>9</Issue><PubDate><Year>2010</Year><Month>Sep</Month><Day>14</Day></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Balancing detection and eradication for control of epidemics: sudden oak death in mixed-species stands.</ArticleTitle><Pagination><MedlinePgn>e12317</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0012317</ELocationID><ELocationID EIdType="pii" ValidYN="Y">e12317</ELocationID><Abstract><AbstractText>Culling of infected individuals is a widely used measure for the control of several plant and animal pathogens but culling first requires detection of often cryptically-infected hosts. In this paper, we address the problem of how to allocate resources between detection and culling when the budget for disease management is limited. The results are generic but we motivate the problem for the control of a botanical epidemic in a natural ecosystem: sudden oak death in mixed evergreen forests in coastal California, in which species composition is generally dominated by a spreader species (bay laurel) and a second host species (coast live oak) that is an epidemiological dead-end in that it does not transmit infection but which is frequently a target for preservation. Using a combination of an epidemiological model for two host species with a common pathogen together with optimal control theory we address the problem of how to balance the allocation of resources for detection and epidemic control in order to preserve both host species in the ecosystem. Contrary to simple expectations our results show that an intermediate level of detection is optimal. Low levels of detection, characteristic of low effort expended on searching and detection of diseased trees, and high detection levels, exemplified by the deployment of large amounts of resources to identify diseased trees, fail to bring the epidemic under control. Importantly, we show that a slight change in the balance between the resources allocated to detection and those allocated to control may lead to drastic inefficiencies in control strategies. 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2001 Dec 15;149(24):729-43</Citation><ArticleIdList><ArticleId IdType="pubmed">11808655</ArticleId></ArticleIdList></Reference><Reference><Citation>Biometrics. 1974 Dec;30(4):681-91</Citation><ArticleIdList><ArticleId IdType="pubmed">4429761</ArticleId></ArticleIdList></Reference><Reference><Citation>J Theor Biol. 2010 Feb 21;262(4):757-63</Citation><ArticleIdList><ArticleId IdType="pubmed">19900466</ArticleId></ArticleIdList></Reference><Reference><Citation>J R Soc Interface. 2009 Dec 6;6(41):1135-44</Citation><ArticleIdList><ArticleId IdType="pubmed">19324686</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Royaume-Uni</li></country><region><li>Angleterre</li><li>Angleterre de l'Est</li></region><settlement><li>Cambridge</li></settlement><orgName><li>Université de Cambridge</li></orgName></list><tree><noCountry><name sortKey="Gilligan, Christopher A" sort="Gilligan, Christopher A" uniqKey="Gilligan C" first="Christopher A" last="Gilligan">Christopher A. Gilligan</name></noCountry><country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Ndeffo Mbah, Martial L" sort="Ndeffo Mbah, Martial L" uniqKey="Ndeffo Mbah M" first="Martial L" last="Ndeffo Mbah">Martial L. Ndeffo Mbah</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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