ArticleMalaria journal2014
A comparison of five malaria transmission models: benchmark tests and implications for disease control.
Article in Malaria journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- A systematic review of epidemiological models for malaria transmission in Sub-Saharan Africa.Malaria journal · 2026Pooled it
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- How can modeling responsibly inform decision-making in malaria?PLoS biology · 2025Article
- Human landing catches provide a useful measure of protective efficacy for the evaluation of volatile pyrethroid spatial repellents.Parasites & vectors · 2023Article
- Agent-based modelling of complex factors impacting malaria prevalence.Malaria journal · 2021Article
- Modelling hepatitis B virus infection and impact of timely birth dose vaccine: A comparison of two simulation models.PloS one · 2020Article
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- Improving our forecasts for trachoma elimination: What else do we need to know?PLoS neglected tropical diseases · 2017Article
- Modeling the Impact of Bed-Net Use and Treatment on Malaria Transmission Dynamics.International scholarly research notices · 2017Article
- Wolbachia infections in natural Anopheles populations affect egg laying and negatively correlate with Plasmodium development.Nature communications · 2016Article
- A combined within-host and between-hosts modelling framework for the evolution of resistance to antimalarial drugs.Journal of the Royal Society, Interface · 2016Article
- Plasmodium knowlesi transmission: integrating quantitative approaches from epidemiology and ecology to understand malaria as a zoonosis.Parasitology · 2016Review
- Considerations for the use of human participants in vector biology research: a tool for investigators and regulators.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundModels for malaria transmission are usually compared based on the quantities tracked, the form taken by each term in the equations, and the qualitative properties of the systems at equilibrium. Here five models are compared in detail in order to develop a set of performance measures that further illuminate the differences among models.
methodsFive models of malaria transmission are compared. Parameters are adjusted to correspond to similar biological quantities across models. Nine choices of parameter sets/initial conditions are tested for all five models. The relationship between malaria incidence in humans and (1) malaria incidence in vectors, (2) man-biting rate, and (3) entomological inoculation rate (EIR) at equilibrium is tested for all models. A sensitivity analysis for all models is conducted at all parameter sets. Overall sensitivities are ranked for each of the five models. A set of simple control interventions is tested on two of the models.
resultsFour of these models behave consistently over a set of nine choices of parameters and initial conditions, with one behaving significantly differently. Two of the models do not match reported entomological inoculation rate data well. The sensitivity profiles, although consistently having similar top parameters, vary not only between models but among choices of parameters and initial conditions. A numerical experiment on two of the models illustrates the effect of these differences on control strategies, showing significant differences between models in predicting which of the control measures are more effective.
conclusionsA set of benchmark tests based on performance measures are developed to be used on any proposed malaria transmission model to test its overall behaviour in comparison to both other models and data sets.
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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.