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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/690
Title: Modelling malaria elimination on the internet
Authors: Maude, Richard J.
Sompob Saralamba
สมภพ ศรลัมพ์
Lewis, Adrian
Sherwood, Dean
White, Nicholas J.
Day, Nicholas P.J.
Dondorp, Arjen M.
White, Lisa J.
Mahidol University. Faculty of Tropical Medicine. Mahidol-Oxford Tropical Medicine Research Unit
Maude, Richard J.
Keywords: Epidemiologic methods;Internet;Malaria;Models, theoretical;Open Access article
Issue Date: 14-Jul-2011
Citation: Maude RJ, Saralamba S, Lewis A, Sherwood D, White NJ, Day NP, et al. Modelling malaria elimination on the internet. Malar J. 2011 Jul 14;10:191.
Abstract: BACKGROUND: 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.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/690
metadata.dc.identifier.url: http://www.malariajournal.com/content/pdf/1475-2875-10-191.pdf
ISSN: 1475-2875 (electronic)
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