Modeling within-host effects of drugs on Plasmodium falciparum transmission and prospects for malaria elimination

Achieving a theoretical foundation for malaria elimination will require a detailed understanding of the quantitative relationships between patient treatment-seeking behavior, treatment coverage, and the effects of curative therapies that also block Plasmodium parasite transmission to mosquito vector...

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Bibliographic Details
Published in:PLoS computational biology 2014-01, Vol.10 (1), p.e1003434-e1003434
Main Authors: Johnston, Geoffrey L, Gething, Peter W, Hay, Simon I, Smith, David L, Fidock, David A
Format: Article
Language:English
Subjects:
Algorithms
Animals
Antimalarials
Antimalarials - pharmacology
Asia, Southeastern
Biology
Communicable Disease Control
Computer Simulation
Culicidae
Disease transmission
Dosage and administration
Drug therapy
Geography
Health aspects
Host-parasite relationships
Humans
Infections
Malaria
Malaria, Falciparum - drug therapy
Malaria, Falciparum - parasitology
Malaria, Falciparum - transmission
Mathematical models
Mathematics
Medical research
Medicine, Experimental
Models, Theoretical
Mortality
Mosquitoes
Plasmodium falciparum
Plasmodium falciparum - drug effects
Population
Prevention
Scholarships & fellowships
Software
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Summary:Achieving a theoretical foundation for malaria elimination will require a detailed understanding of the quantitative relationships between patient treatment-seeking behavior, treatment coverage, and the effects of curative therapies that also block Plasmodium parasite transmission to mosquito vectors. Here, we report a mechanistic, within-host mathematical model that uses pharmacokinetic (PK) and pharmacodynamic (PD) data to simulate the effects of artemisinin-based combination therapies (ACTs) on Plasmodium falciparum transmission. To contextualize this model, we created a set of global maps of the fold reductions that would be necessary to reduce the malaria R C (i.e. its basic reproductive number under control) to below 1 and thus interrupt transmission. This modeling was applied to low-transmission settings, defined as having a R 0
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1003434