Publication: Antimalarial drug resistance, artemisinin-based combination therapy, and the contribution of modeling to elucidating policy choices
Issued Date
2004-08-01
Resource Type
ISSN
00029637
Other identifier(s)
2-s2.0-4344696649
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
American Journal of Tropical Medicine and Hygiene. Vol.71, No.2 SUPPL. (2004), 179-186
Suggested Citation
Shunmay Yeung, Wirichada Pongtavornpinyo, Ian M. Hastings, Anne J. Mills, Nicholas J. White Antimalarial drug resistance, artemisinin-based combination therapy, and the contribution of modeling to elucidating policy choices. American Journal of Tropical Medicine and Hygiene. Vol.71, No.2 SUPPL. (2004), 179-186. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/21365
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Antimalarial drug resistance, artemisinin-based combination therapy, and the contribution of modeling to elucidating policy choices
Abstract
Increasing resistance of Plasmodium falciparum malaria to antimalarial drugs is posing a major threat to the global effort to "Roll Back Malaria". Chloroquine and sulfadoxine-pyrimethamine (SP) are being rendered increasingly ineffective, resulting in increasing morbidity, mortality, and economic and social costs. One strategy advocated for delaying the development of resistance to the remaining armory of effective drugs is the wide-scale deployment of artemisinin-based combination therapy. However, the cost of these combinations are higher than most of the currently used monotherapies and alternative non-artemisinin-based combinations. In addition, uncertainty about the actual impact in real-life settings has made them a controversial choice for first-line treatment. The difficulties in measuring the burden of drug resistance and predicting the impact of strategies aimed at its reduction are outlined, and a mathematical model is introduced that is being designed to address these issues and to clarify policy options.