Publication: Modelling malaria elimination on the internet
1
Accepted Date
2011-07-14
Issued Date
2011-07-14
Copyright Date
2011
Resource Type
Language
eng
ISSN
1475-2875 (electronic)
Rights
Mahidol University
Rights Holder(s)
BioMed Central
Bibliographic 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.
Suggested Citation
Maude, Richard J., Sompob Saralamba, สมภพ ศรลัมพ์, Lewis, Adrian, Sherwood, Dean, White, Nicholas J., Day, Nicholas P.J., Dondorp, Arjen M., White, Lisa J. Modelling malaria elimination on the internet. 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.. doi:10.1186/1475-2875-10-191 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/690
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Modelling malaria elimination on the internet
Corresponding Author(s)
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.