Publication:
Modelling malaria elimination on the internet

dc.contributor.authorRichard J. Maudeen_US
dc.contributor.authorSompob Saralambaen_US
dc.contributor.authorAdrian Lewisen_US
dc.contributor.authorDean Sherwooden_US
dc.contributor.authorNicholas J. Whiteen_US
dc.contributor.authorNicholas Pj Dayen_US
dc.contributor.authorArjen M. Dondorpen_US
dc.contributor.authorLisa J. Whiteen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherNuffield Department of Clinical Medicineen_US
dc.contributor.otherISynch-Den_US
dc.date.accessioned2018-05-03T08:15:54Z
dc.date.available2018-05-03T08:15:54Z
dc.date.issued2011-07-26en_US
dc.description.abstractBackground: Unprecedented efforts are underway to eliminate malaria. Mathematical modelling can help to determine the optimal strategies for malaria elimination in different epidemiological settings. This is necessary as there is limited scope for expensive and time-consuming field studies and failure of planned elimination strategies is likely to discourage ongoing investment by funders. However, there has been very little modelling of malaria elimination and little direct involvement of policymakers in its development. There is thus an urgent need for user-friendly and accessible models purpose-designed in collaboration with policymakers to answer pertinent questions arising from the field. Results: An internet site is presented with a simple mathematical modelling platform for population level models of malaria elimination. It is freely accessible to all and designed to be flexible so both the platform and models can be developed through interaction with users. The site is an accessible introduction to modelling for a non-mathematical audience, and lessons learned from the project will help inform future development of mathematical models and improve communication of modelling results. Currently it hosts a simple model of strategies for malaria elimination and this will be developed, and more models added, over time. The iterative process of feedback and development will result in an educational and planning tool for non-modellers to assist with malaria elimination efforts worldwide. Conclusions: By collaboration with end users, iterative development of mathematical models of malaria elimination through this internet platform will maximize its potential as an educational and public health policy planning tool. It will also assist with preliminary optimisation of local malaria elimination strategies before commitment of valuable resources. © 2011 Maude et al; licensee BioMed Central Ltd.en_US
dc.identifier.citationMalaria Journal. Vol.10, (2011)en_US
dc.identifier.doi10.1186/1475-2875-10-191en_US
dc.identifier.issn14752875en_US
dc.identifier.other2-s2.0-79960562930en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/12024
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960562930&origin=inwarden_US
dc.subjectImmunology and Microbiologyen_US
dc.subjectMedicineen_US
dc.titleModelling malaria elimination on the interneten_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960562930&origin=inwarden_US

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