Publication: Contrasting benefits of different artemisinin combination therapies as first-line malaria treatments using model-based cost-effectiveness analysis
Issued Date
2014-01-01
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ISSN
20411723
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2-s2.0-84923377601
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Mahidol University
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SCOPUS
Bibliographic Citation
Nature Communications. Vol.5, (2014)
Suggested Citation
Lucy C. Okell, Matthew Cairns, Jamie T. Griffin, Neil M. Ferguson, Joel Tarning, George Jagoe, Pierre Hugo, Mark Baker, Umberto D'Alessandro, Teun Bousema, David Ubben, Azra C. Ghani Contrasting benefits of different artemisinin combination therapies as first-line malaria treatments using model-based cost-effectiveness analysis. Nature Communications. Vol.5, (2014). doi:10.1038/ncomms6606 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/33510
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Title
Contrasting benefits of different artemisinin combination therapies as first-line malaria treatments using model-based cost-effectiveness analysis
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Abstract
© 2014 Macmillan Publishers Limited. All rights reserved. There are currently several recommended drug regimens for uncomplicated falciparum malaria in Africa. Each has different properties that determine its impact on disease burden. Two major antimalarial policy options are artemether-lumefantrine (AL) and dihydroartemisinin-piperaquine (DHA-PQP). Clinical trial data show that DHA-PQP provides longer protection against reinfection, while AL is better at reducing patient infectiousness. Here we incorporate pharmacokinetic-pharmacodynamic factors, transmission-reducing effects and cost into a mathematical model and simulate malaria transmission and treatment in Africa, using geographically explicit data on transmission intensity and seasonality, population density, treatment access and outpatient costs. DHA-PQP has a modestly higher estimated impact than AL in 64% of the population at risk. Given current higher cost estimates for DHA-PQP, there is a slightly greater cost per case averted, except in areas with high, seasonally varying transmission where the impact is particularly large. We find that a locally optimized treatment policy can be highly cost effective for reducing clinical malaria burden.