Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/43233
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dc.contributor.authorEric P.M. Gristen_US
dc.contributor.authorJennifer A. Fleggen_US
dc.contributor.authorGeorgina Humphreysen_US
dc.contributor.authorIgnacio Suay Masen_US
dc.contributor.authorTim J.C. Andersonen_US
dc.contributor.authorElizabeth A. Ashleyen_US
dc.contributor.authorNicholas P.J. Dayen_US
dc.contributor.authorMehul Dhordaen_US
dc.contributor.authorArjen M. Dondorpen_US
dc.contributor.authorM. Abul Faizen_US
dc.contributor.authorPeter W. Gethingen_US
dc.contributor.authorTran T. Hienen_US
dc.contributor.authorTin M. Hlaingen_US
dc.contributor.authorMallika Imwongen_US
dc.contributor.authorJean Marie Kindermansen_US
dc.contributor.authorRichard J. Maudeen_US
dc.contributor.authorMayfong Mayxayen_US
dc.contributor.authorMarina McDew-Whiteen_US
dc.contributor.authorDidier Menarden_US
dc.contributor.authorShalini Nairen_US
dc.contributor.authorFrancois Nostenen_US
dc.contributor.authorPaul N. Newtonen_US
dc.contributor.authorRic N. Priceen_US
dc.contributor.authorSasithon Pukrittayakameeen_US
dc.contributor.authorShannon Takala-Harrisonen_US
dc.contributor.authorFrank Smithuisen_US
dc.contributor.authorNhien T. Nguyenen_US
dc.contributor.authorKyaw M. Tunen_US
dc.contributor.authorNicholas J. Whiteen_US
dc.contributor.authorBenoit Witkowskien_US
dc.contributor.authorCharles J. Woodrowen_US
dc.contributor.authorRick M. Fairhursten_US
dc.contributor.authorCarol Hopkins Sibleyen_US
dc.contributor.authorPhilippe J. Guerinen_US
dc.contributor.otherWorldWide Antimalarial Resistance Network (WWARN)en_US
dc.contributor.otherNuffield Department of Clinical Medicineen_US
dc.contributor.otherMonash Universityen_US
dc.contributor.otherTexas Biomedical Research Instituteen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherNational Institute of Allergy and Infectious Diseasesen_US
dc.contributor.otherDev Care Foundationen_US
dc.contributor.otherUniversity of Oxforden_US
dc.contributor.otherOxford University Clinical Research Uniten_US
dc.contributor.otherDefence Services Medical Research Centreen_US
dc.contributor.otherMedecins Sans Frontieres, Brusselsen_US
dc.contributor.otherPasteur Institute in Cambodiaen_US
dc.contributor.otherLao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU)en_US
dc.contributor.otherUniversity of Maryland School of Medicineen_US
dc.contributor.otherMenzies School of Health Researchen_US
dc.contributor.otherMyanmar Oxford Clinical Research Uniten_US
dc.contributor.otherUniversity of Washington, Seattleen_US
dc.contributor.otherHarvard School of Public Healthen_US
dc.date.accessioned2018-12-11T02:27:07Z
dc.date.accessioned2019-03-14T08:04:18Z-
dc.date.available2018-12-11T02:27:07Z
dc.date.available2019-03-14T08:04:18Z-
dc.date.issued2016-10-24en_US
dc.identifier.citationInternational Journal of Health Geographics. Vol.15, No.1 (2016)en_US
dc.identifier.issn1476072Xen_US
dc.identifier.other2-s2.0-84992360038en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992360038&origin=inwarden_US
dc.identifier.urihttp://repository.li.mahidol.ac.th/dspace/handle/123456789/43233-
dc.description.abstract© 2016 The Author(s). Background: Artemisinin-resistant Plasmodium falciparum malaria parasites are now present across much of mainland Southeast Asia, where ongoing surveys are measuring and mapping their spatial distribution. These efforts require substantial resources. Here we propose a generic 'smart surveillance' methodology to identify optimal candidate sites for future sampling and thus map the distribution of artemisinin resistance most efficiently. Methods: The approach uses the 'uncertainty' map generated iteratively by a geostatistical model to determine optimal locations for subsequent sampling. Results: The methodology is illustrated using recent data on the prevalence of the K13-propeller polymorphism (a genetic marker of artemisinin resistance) in the Greater Mekong Subregion. Conclusion: This methodology, which has broader application to geostatistical mapping in general, could improve the quality and efficiency of drug resistance mapping and thereby guide practical operations to eliminate malaria in affected areas.en_US
dc.rightsMahidol Universityen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992360038&origin=inwarden_US
dc.subjectBusiness, Management and Accountingen_US
dc.subjectComputer Scienceen_US
dc.subjectMedicineen_US
dc.titleOptimal health and disease management using spatial uncertainty: A geographic characterization of emergent artemisinin-resistant Plasmodium falciparum distributions in Southeast Asiaen_US
dc.typeArticleen_US
dc.rights.holderSCOPUSen_US
dc.identifier.doi10.1186/s12942-016-0064-6en_US
Appears in Collections:Scopus 2016-2017

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