ArticleInternational health2010
The role of mathematical modelling in guiding the science and economics of malaria elimination.
Article in International health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Effect of Test-Based versus Presumptive Treatment of Malaria in Under-Five Children in Rural Ghana--A Cluster-Randomised Trial.PloS one · 2016Trial
- Bridging the Gap from Molecular Surveillance to Programmatic Decisions for Malaria Control and Elimination.The American journal of tropical medicine and hygiene · 2025Review
- Challenges of using modelling evidence in the visceral leishmaniasis elimination programme in India.PLOS global public health · 2022Article
- Scenario analysis for programmatic tuberculosis control in Bangladesh: a mathematical modelling study.Scientific reports · 2021Article
- Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries.BioMed research international · 2021Article
- Applied mathematical modelling to inform national malaria policies, strategies and operations in Tanzania.Malaria journal · 2020Article
- Modeling drug-resistant tuberculosis amplification rates and intervention strategies in Bangladesh.PloS one · 2020Article
- Geospatial modelling in guiding health program strategies in resource-limited settings-the way forward.Annals of translational medicine · 2017Article
- Life-table studies revealed significant effects of deforestation on the development and survivorship of Anopheles minimus larvae.Parasites & vectors · 2016Article
- Article
- A mathematical model for the deficiency-excess mechanism of yin-yang in five viscera.Chinese journal of integrative medicine · 2014Article
- Article
- Modelling malaria elimination on the internet.Malaria journal · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Unprecedented efforts are now underway to eliminate malaria from many regions. Despite the enormous financial resources committed, if malaria elimination is perceived as failing it is likely that this funding will not be sustained. It is imperative that methods are developed to use the limited data available to design site-specific, cost-effective elimination programmes. Mathematical modelling is a way of including mechanistic understanding to use available data to make predictions. Different strategies can be evaluated much more rapidly than is possible through trial and error in the field. Mathematical modelling has great potential as a tool to guide and inform current elimination efforts. Economic modelling weighs costs against characterised effects or predicted benefits in order to determine the most cost-efficient strategy but has traditionally used static models of disease not suitable for elimination. Dynamic mathematical modelling and economic modelling techniques need to be combined to contribute most effectively to ongoing policy discussions. We review the role of modelling in previous malaria control efforts as well as the unique nature of elimination and the consequent need for its explicit modelling, and emphasise the importance of good disease surveillance. The difficulties and complexities of economic evaluation of malaria control, particularly the end stages of elimination, are discussed.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.