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Modelling malaria elimination on the internet

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 failu...

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Autores principales: Maude, Richard J, Saralamba, Sompob, Lewis, Adrian, Sherwood, Dean, White, Nicholas J, Day, Nicholas PJ, Dondorp, Arjen M, White, Lisa J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160427/
https://www.ncbi.nlm.nih.gov/pubmed/21756319
http://dx.doi.org/10.1186/1475-2875-10-191
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author Maude, Richard J
Saralamba, Sompob
Lewis, Adrian
Sherwood, Dean
White, Nicholas J
Day, Nicholas PJ
Dondorp, Arjen M
White, Lisa J
author_facet Maude, Richard J
Saralamba, Sompob
Lewis, Adrian
Sherwood, Dean
White, Nicholas J
Day, Nicholas PJ
Dondorp, Arjen M
White, Lisa J
author_sort Maude, Richard J
collection PubMed
description 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.
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spelling pubmed-31604272011-08-24 Modelling malaria elimination on the internet Maude, Richard J Saralamba, Sompob Lewis, Adrian Sherwood, Dean White, Nicholas J Day, Nicholas PJ Dondorp, Arjen M White, Lisa J Malar J Methodology 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. BioMed Central 2011-07-14 /pmc/articles/PMC3160427/ /pubmed/21756319 http://dx.doi.org/10.1186/1475-2875-10-191 Text en Copyright ©2011 Maude et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Maude, Richard J
Saralamba, Sompob
Lewis, Adrian
Sherwood, Dean
White, Nicholas J
Day, Nicholas PJ
Dondorp, Arjen M
White, Lisa J
Modelling malaria elimination on the internet
title Modelling malaria elimination on the internet
title_full Modelling malaria elimination on the internet
title_fullStr Modelling malaria elimination on the internet
title_full_unstemmed Modelling malaria elimination on the internet
title_short Modelling malaria elimination on the internet
title_sort modelling malaria elimination on the internet
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160427/
https://www.ncbi.nlm.nih.gov/pubmed/21756319
http://dx.doi.org/10.1186/1475-2875-10-191
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