ArticleTrends in parasitology2013
Modeling the human infectious reservoir for malaria control: does heterogeneity matter?
Article in Trends in parasitology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Declining malaria transmission in rural Amazon: changing epidemiology and challenges to achieve elimination.Malaria journal · 2016Article
- Coupled Heterogeneities and Their Impact on Parasite Transmission and Control.Trends in parasitology · 2016Review
- A combined within-host and between-hosts modelling framework for the evolution of resistance to antimalarial drugs.Journal of the Royal Society, Interface · 2016Article
- Article
- The role of the mosquito in a dengue human infection model.The Journal of infectious diseases · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The complex biological relationships underlying malaria transmission make it difficult to predict the impact of interventions. Mathematical models simplify these relationships and capture essential components of malaria transmission and epidemiology. Models designed to predict the impact of control programs generally infer a relationship between transmission intensity and human infectiousness to the mosquito, requiring assumptions about how infectiousness varies between individuals. A lack of understanding of human infectiousness precludes a standard approach to this inference, however, and field data reveal no obvious correlation between transmission intensity and human population infectiousness. We argue that model assumptions will have important consequences for predicting the impact of control programs.
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Registered trials
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